About Valence Labs Valence Labs is a research and productization engine within Recursion dedicated to advancing the frontier of AI in drug discovery. Combining the intellectual freedom of academia with the resources and stability of industry, we develop novel AI technologies to spearhead a fundamental shift in the way we discover and develop treatments for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry. Our team is headquartered in Montreal, where we share close connections with Mila, the world's largest deep learning research institute. About the role We're seeking an experienced Research Engineer to shape and lead the development of software and AI systems that will help in our mission of decoding biology to radically improve lives. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at significant scale. In addition, we highly value proficiency with state-of-the-art machine learning algorithms and exceptional problem solving skills. In this role, you will: Support Valence Labs' research agenda across ML for drug discovery. Engage with and contribute to open-source libraries developed by Valence and the research community. Create and improve novel ML methods that will accelerate drug discovery. Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems. Effectively present and communicate research findings through talks, blog posts, publications, and conferences. Requirements: PhD or equivalent practical experience in a technical field. Strong programming skills and understanding of modern software development practices, especially in Python. Proven track record in machine learning, including designing new architectures, hands-on experimentation, analysis, visualization, and model deployment. Demonstrated capability to understand and summarize scientific content and implement deep learning models based on descriptions from publications. Strong knowledge of linear algebra, calculus, and statistics. 4+ years of experience using ML and scientific computing frameworks. Passion for applying ML research to real-world problems. Nice to have: Experience in building and deploying high-performance implementations of deep learning algorithms. Authorship of publications in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, or similar). Contribution to high-visibility ML codebases. Scientific knowledge of biology, chemistry, or physics along with previous experience working in a scientific environment across disciplines. At Valence Labs, we foster an inclusive and diverse work environment. Join our multidisciplinary team of passionate researchers, eager to push the boundaries of ML research and contribute to technology that will transform drug discovery and human health.
Mar 28, 2024
Full time
About Valence Labs Valence Labs is a research and productization engine within Recursion dedicated to advancing the frontier of AI in drug discovery. Combining the intellectual freedom of academia with the resources and stability of industry, we develop novel AI technologies to spearhead a fundamental shift in the way we discover and develop treatments for complex disease. Our research is driven by optimism, purpose, and a shared vision for a healthier tomorrow. We publish in top journals and conferences, are deeply committed to open-science and open-source, and maintain some of the largest and most active research communities in our industry. Our team is headquartered in Montreal, where we share close connections with Mila, the world's largest deep learning research institute. About the role We're seeking an experienced Research Engineer to shape and lead the development of software and AI systems that will help in our mission of decoding biology to radically improve lives. We're looking for individuals with strong engineering skills, including expertise in designing, implementing, improving, and deploying distributed machine learning systems at significant scale. In addition, we highly value proficiency with state-of-the-art machine learning algorithms and exceptional problem solving skills. In this role, you will: Support Valence Labs' research agenda across ML for drug discovery. Engage with and contribute to open-source libraries developed by Valence and the research community. Create and improve novel ML methods that will accelerate drug discovery. Collaborate with an interdisciplinary team of dry and wet lab scientists to inform and improve our models and systems. Effectively present and communicate research findings through talks, blog posts, publications, and conferences. Requirements: PhD or equivalent practical experience in a technical field. Strong programming skills and understanding of modern software development practices, especially in Python. Proven track record in machine learning, including designing new architectures, hands-on experimentation, analysis, visualization, and model deployment. Demonstrated capability to understand and summarize scientific content and implement deep learning models based on descriptions from publications. Strong knowledge of linear algebra, calculus, and statistics. 4+ years of experience using ML and scientific computing frameworks. Passion for applying ML research to real-world problems. Nice to have: Experience in building and deploying high-performance implementations of deep learning algorithms. Authorship of publications in peer-reviewed conferences (e.g., NeurIPS, ICML, ICLR, or similar). Contribution to high-visibility ML codebases. Scientific knowledge of biology, chemistry, or physics along with previous experience working in a scientific environment across disciplines. At Valence Labs, we foster an inclusive and diverse work environment. Join our multidisciplinary team of passionate researchers, eager to push the boundaries of ML research and contribute to technology that will transform drug discovery and human health.
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we're building things differently. We don't think it's scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere. Where you'll have an impact This role is expected to be able to provide operational and tactical support to the Fleet Operations Division, as well as providing tactical support across other departments where needed. In both a reactive and proactive manner, you will be working with the management team of Fleet Operations to enact and action their goals and enable high performance through people related practices and processes. This impact is expected to be achieved in an autonomous, delivery & data focused way, with a key focus on operational processes and stakeholder management and support. Challenges you'll own: Partnering with Talent to ensure an effective and high quality Talent hiring machine that meets rapid growth and necessary speed of execution for the Fleet Operations team, ensuring a high quality process leads to high quality candidates and subsequent outcomes. Supporting managers to ensure key people processes are executed in a timely manner such as pre-employment checks, probationary processes and other key lifecycle touch points. Performance management, expectation setting & support across Fleet Operations management. Supporting the leaders to maintain positive engagement & motivation across the teams Ensuring DEI is accounted for in People practices and decisions within Fleet Operations All ER situations within Fleet Operations and potential ER support for other teams where needed What you'll bring: Essential: At least 3+ years in a People role Experience in handling ER cases Experience in onboarding and early lifecycle touch points Empathy & understanding with clear approachability Demonstrated commerciality Experience in Manager Level Stakeholder Management Expertise in performance management and building high performing teams Concise communication in both written and verbal form Ability to flex style to different stakeholders Ability to pivot and flex as needed Desirable : 2+ years as a People Partner / HRBP Our offer: A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time Immersion in a team of world-class researchers, engineers and entrepreneurs Competitive compensation and stock options On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! Help relocating/travelling to London, with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your team. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Mar 28, 2024
Full time
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we're building things differently. We don't think it's scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere. Where you'll have an impact This role is expected to be able to provide operational and tactical support to the Fleet Operations Division, as well as providing tactical support across other departments where needed. In both a reactive and proactive manner, you will be working with the management team of Fleet Operations to enact and action their goals and enable high performance through people related practices and processes. This impact is expected to be achieved in an autonomous, delivery & data focused way, with a key focus on operational processes and stakeholder management and support. Challenges you'll own: Partnering with Talent to ensure an effective and high quality Talent hiring machine that meets rapid growth and necessary speed of execution for the Fleet Operations team, ensuring a high quality process leads to high quality candidates and subsequent outcomes. Supporting managers to ensure key people processes are executed in a timely manner such as pre-employment checks, probationary processes and other key lifecycle touch points. Performance management, expectation setting & support across Fleet Operations management. Supporting the leaders to maintain positive engagement & motivation across the teams Ensuring DEI is accounted for in People practices and decisions within Fleet Operations All ER situations within Fleet Operations and potential ER support for other teams where needed What you'll bring: Essential: At least 3+ years in a People role Experience in handling ER cases Experience in onboarding and early lifecycle touch points Empathy & understanding with clear approachability Demonstrated commerciality Experience in Manager Level Stakeholder Management Expertise in performance management and building high performing teams Concise communication in both written and verbal form Ability to flex style to different stakeholders Ability to pivot and flex as needed Desirable : 2+ years as a People Partner / HRBP Our offer: A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time Immersion in a team of world-class researchers, engineers and entrepreneurs Competitive compensation and stock options On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! Help relocating/travelling to London, with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your team. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
About the Role: Grade Level (for internal use): 13 The Role: Head of Corporate Sales (Player/Coach) - Europe. The Team: Our Economic and Industry forecasts and Global Risk and Maritime capabilities are used by senior executives within multinational corporations, financial organizations, and government organizations to underpin critical strategic decisions and provide them with a 360-degree perspective on what matters most to their business or organization. The Impact: The Global Intelligence and Analytics (GIA) portfolio of solutions supports our customers with a horizontal view of the geographies, sectors, and environments that shape the world in which they, their suppliers, and their customers operate. With solutions spanning, Global Risk and Maritime, Economic Indicators and Forecasts, Trade Compliance and Shipping Intelligence, this role presents an exciting opportunity to be at the forefront of shaping our customers' strategies. The solutions are supported by best-in-class researchers, consultants, subject matter experts, solutions engineers and data and analytics teams. What's in it for you: As a player/coach you will be responsible for individual contributions and lead the new business sales team for our Risk, Maritime & Economics (RME) solutions within GIA across Europe. You and your team will be responsible for both subscriptions and consulting sales into all Non-Financial Corporate verticals within Europe. As a leader, you will use your leadership skills to plan and design defined sales plays and coach and develop individual contributors to execute on these plays within Europe. As an individual contributor you will have the opportunity to leverage your data subscription and consultative sales skills to build relationships at user, director and C-level across the Europe leading non-financial organizations. You will help solve some of the biggest risk and growth challenges they face. Supporting you will be our deep bench of consultants, product experts, and solutions engineers from across GIA. The Territory: • Non-Financial Corporates - All corporates within Europe excluding Financials (Buyside, Sell side, Private Equity, Insurance) Responsibilities: Meeting and exceeding the Non-Financial Corporates team new business sales targets on a monthly and annual basis for both subscriptions and consultancy sales. Owning the non-financial corporate's number - Accurately forecasting and communicating the committed and best-case deals for your team on a monthly and quarterly basis. Plan and design defined sales plays with sales and product leadership team input, for the Risk Maritime and Economic product suite across multiple verticals. Work closely with the existing accounts renewal team leaders to ensure maximum collaboration to ensure high retention and growth in key accounts. Plan and design outbound marketing campaigns, with sales, product, and marketing leadership team input. Identify key external events and plan and design internal customer events. Lead, coach and develop new business individual contributors to execute defined sales plays to meet and exceed sales targets on a monthly and annual basis for both subscriptions and consultancy sales. Establish a culture of continual improvement from your individual contributors to help them move through key stages of the sales process. Ensure they can demonstrate "Exit Gates" have been reached in each stage of the sales process. Ensure MEDDPICC qualification check is employed by your team on enterprise size deals. Travelling throughout Europe whenever required to meet with customers and prospects. Synergy Sales - Meeting key synergy or cross selling targets set by the wider organization. What We're Looking For: Proven history of top performance in successfully leading, coaching, and developing single/multiple individual contributors within data and analytics subscription sales. This includes planning and designing of sales plays and improving execution at each stage of the sales process. Extensive experience within the Financial Industry. Ability to learn complex concepts and quickly and communicate those concepts in a simple to explain method to individual contributors and potential customers at the C level. Proven record of recruiting and hiring top performing individual contributors The ability to absorb and apply coaching across team and at the individual contributor level. Successfully working with internal stakeholders across product, marketing, peers, and executive leadership. History of top performance or remarkable achievement at the individual contributor level within data & analytics sales Demonstrate that you will be able to quickly understand how different Corporate Verticals generate revenue and mitigate risk. This includes how to gain insight into key C-level initiatives that translate into actionable tasks delivered with the help of GIA Solutions. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction. For more information, visit . What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn't stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. . click apply for full job details
Mar 28, 2024
Full time
About the Role: Grade Level (for internal use): 13 The Role: Head of Corporate Sales (Player/Coach) - Europe. The Team: Our Economic and Industry forecasts and Global Risk and Maritime capabilities are used by senior executives within multinational corporations, financial organizations, and government organizations to underpin critical strategic decisions and provide them with a 360-degree perspective on what matters most to their business or organization. The Impact: The Global Intelligence and Analytics (GIA) portfolio of solutions supports our customers with a horizontal view of the geographies, sectors, and environments that shape the world in which they, their suppliers, and their customers operate. With solutions spanning, Global Risk and Maritime, Economic Indicators and Forecasts, Trade Compliance and Shipping Intelligence, this role presents an exciting opportunity to be at the forefront of shaping our customers' strategies. The solutions are supported by best-in-class researchers, consultants, subject matter experts, solutions engineers and data and analytics teams. What's in it for you: As a player/coach you will be responsible for individual contributions and lead the new business sales team for our Risk, Maritime & Economics (RME) solutions within GIA across Europe. You and your team will be responsible for both subscriptions and consulting sales into all Non-Financial Corporate verticals within Europe. As a leader, you will use your leadership skills to plan and design defined sales plays and coach and develop individual contributors to execute on these plays within Europe. As an individual contributor you will have the opportunity to leverage your data subscription and consultative sales skills to build relationships at user, director and C-level across the Europe leading non-financial organizations. You will help solve some of the biggest risk and growth challenges they face. Supporting you will be our deep bench of consultants, product experts, and solutions engineers from across GIA. The Territory: • Non-Financial Corporates - All corporates within Europe excluding Financials (Buyside, Sell side, Private Equity, Insurance) Responsibilities: Meeting and exceeding the Non-Financial Corporates team new business sales targets on a monthly and annual basis for both subscriptions and consultancy sales. Owning the non-financial corporate's number - Accurately forecasting and communicating the committed and best-case deals for your team on a monthly and quarterly basis. Plan and design defined sales plays with sales and product leadership team input, for the Risk Maritime and Economic product suite across multiple verticals. Work closely with the existing accounts renewal team leaders to ensure maximum collaboration to ensure high retention and growth in key accounts. Plan and design outbound marketing campaigns, with sales, product, and marketing leadership team input. Identify key external events and plan and design internal customer events. Lead, coach and develop new business individual contributors to execute defined sales plays to meet and exceed sales targets on a monthly and annual basis for both subscriptions and consultancy sales. Establish a culture of continual improvement from your individual contributors to help them move through key stages of the sales process. Ensure they can demonstrate "Exit Gates" have been reached in each stage of the sales process. Ensure MEDDPICC qualification check is employed by your team on enterprise size deals. Travelling throughout Europe whenever required to meet with customers and prospects. Synergy Sales - Meeting key synergy or cross selling targets set by the wider organization. What We're Looking For: Proven history of top performance in successfully leading, coaching, and developing single/multiple individual contributors within data and analytics subscription sales. This includes planning and designing of sales plays and improving execution at each stage of the sales process. Extensive experience within the Financial Industry. Ability to learn complex concepts and quickly and communicate those concepts in a simple to explain method to individual contributors and potential customers at the C level. Proven record of recruiting and hiring top performing individual contributors The ability to absorb and apply coaching across team and at the individual contributor level. Successfully working with internal stakeholders across product, marketing, peers, and executive leadership. History of top performance or remarkable achievement at the individual contributor level within data & analytics sales Demonstrate that you will be able to quickly understand how different Corporate Verticals generate revenue and mitigate risk. This includes how to gain insight into key C-level initiatives that translate into actionable tasks delivered with the help of GIA Solutions. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction. For more information, visit . What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn't stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. . click apply for full job details
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Mar 27, 2024
Full time
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we're building things differently. We don't think it's scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere. The impact you will have: We're looking for an experienced Applied Scientist with expertise in synthetic data to join our Vision & Graphics team. You'll be at the forefront of advancing our innovative neural simulator, Ghost Gym , developing and applying groundbreaking research to generate thousands of simulated scenarios. These scenarios are critical for training, testing, and debugging our end-to-end AI driving models, contributing significantly to the creation of safe and reliable AI driving technology. You will play a crucial role in designing, developing, and deploying innovative AI models. You will focus on generating and utilizing synthetic data to train and validate our AI systems, ensuring they meet the highest standards of accuracy and reliability. Challenges you will own: Lead the development and implementation of synthetic data generation techniques to support the training and testing of AI models. Collaborate with cross-functional teams to understand requirements and create realistic, scalable synthetic datasets tailored to specific AI applications. Apply state-of-the-art machine learning and deep learning methodologies to improve the fidelity and efficiency of synthetic data. Conduct rigorous validation and testing of AI models using synthetic data, identifying and addressing gaps in performance. Stay abreast of the latest research and technological advancements in synthetic data and neural rendering, integrating new findings into our workflows. This could involve opportunities to publish research findings in top-tier journals and conferences, contributing to the scientific community and establishing Wayve as a leader in the field. What you will bring: Must haves: Proven expertise in synthetic data generation and application in AI model training and testing. Strong foundation in machine learning, deep learning, and neural rendering techniques. Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch. Demonstrable experience with tools relevant to synthetic data generation. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. Desirable: Experience with dynamic scene reconstruction and rendering, particularly in outdoor environments. Familiarity with parallel computing, GPU programming, and optimization techniques. PhD or MSc in Computer Science, Computer Engineering, or a related field, with a focus on computer graphics, computer vision, or machine learning. Our offer: A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time Immersion in a team of world-class researchers, engineers and entrepreneurs Competitive compensation and stock options On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! Help relocating/travelling to London, with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your team. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Mar 26, 2024
Full time
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning. With our multi-national world-class technical team, we're building things differently. We don't think it's scalable to tell an algorithm how to drive through hand-coded rules and expensive HD maps. Instead, we believe that machine learning algorithms learning from experience and data will allow our driver to be more intelligent and capable of easily adapting to new environments. Our aim is to be the future of self-driving cars: the first to deploy in 100 cities across the world bringing autonomy to everyone, everywhere. The impact you will have: We're looking for an experienced Applied Scientist with expertise in synthetic data to join our Vision & Graphics team. You'll be at the forefront of advancing our innovative neural simulator, Ghost Gym , developing and applying groundbreaking research to generate thousands of simulated scenarios. These scenarios are critical for training, testing, and debugging our end-to-end AI driving models, contributing significantly to the creation of safe and reliable AI driving technology. You will play a crucial role in designing, developing, and deploying innovative AI models. You will focus on generating and utilizing synthetic data to train and validate our AI systems, ensuring they meet the highest standards of accuracy and reliability. Challenges you will own: Lead the development and implementation of synthetic data generation techniques to support the training and testing of AI models. Collaborate with cross-functional teams to understand requirements and create realistic, scalable synthetic datasets tailored to specific AI applications. Apply state-of-the-art machine learning and deep learning methodologies to improve the fidelity and efficiency of synthetic data. Conduct rigorous validation and testing of AI models using synthetic data, identifying and addressing gaps in performance. Stay abreast of the latest research and technological advancements in synthetic data and neural rendering, integrating new findings into our workflows. This could involve opportunities to publish research findings in top-tier journals and conferences, contributing to the scientific community and establishing Wayve as a leader in the field. What you will bring: Must haves: Proven expertise in synthetic data generation and application in AI model training and testing. Strong foundation in machine learning, deep learning, and neural rendering techniques. Strong programming skills in Python, with experience in deep learning frameworks such as PyTorch. Demonstrable experience with tools relevant to synthetic data generation. Excellent problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated ability to work collaboratively in a fast-paced, innovative, interdisciplinary team environment. Desirable: Experience with dynamic scene reconstruction and rendering, particularly in outdoor environments. Familiarity with parallel computing, GPU programming, and optimization techniques. PhD or MSc in Computer Science, Computer Engineering, or a related field, with a focus on computer graphics, computer vision, or machine learning. Our offer: A position to shape the future of autonomous driving, and thus to tackle one of the biggest challenges of our time Immersion in a team of world-class researchers, engineers and entrepreneurs Competitive compensation and stock options On-site chef and bar, lots of fun socials, a workplace nursery scheme and more! Help relocating/travelling to London, with visa sponsorship Flexible working hours - we trust you to do your job well, at times that suit you and your team. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Europe's leading AI company since 2017, is dedicated to breaking down language barriers and bringing cultures closer together. Our expertise in AI and neural networks has enabled us to create cutting-edge communication technologies for businesses, including the acclaimed DeepL Translator which offers 30+ languages, and DeepL Write, our AI writing companion. Our core offering includes a suite of products and tools made for businesses to communicate more effectively, both internally and with their customers around the globe. Our goal is to become the global leader in Language AI and build products that help drive better communication, drive connection, and make real-life impact. To do that, we need talented people, like you, who want to be a part of this exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination. What sets us apart? We are committed to innovation and to a nurturing work environment. Founded by developers and researchers, we spend a lot of time actively reviewing the latest trends in generative AI and software engineering. Known for pioneering AI technologies, we dive deep into cutting-edge research to create not only translations, but advanced language solutions. Combining our use of modern technology, comprehensive employee benefits with our open and welcoming work culture is what sets us apart. When we tell people about DeepL as an employer, the reactions are overwhelmingly positive. Maybe it's because of the products that have helped countless people worldwide, or maybe it's because of our shared goal of improving communication for individuals and businesses worldwide. What we're certain of is this: being part of DeepL means joining a team committed to innovation and the well-being of its employees. Your responsibilities As the first person to break into Turkey,you will lead in creating, defining and executing aterritory plan to ensure the brand new region is successful You will be at the forefront of DeepL's rapid growth and present our market-leading translation service to clients in order to eliminate their language barriers within Turkey Become an ambassador for DeepL's products and an expert on our customers' needs in order to troubleshoot and rapidly resolve inquiries As a trusted partner to potential new business and incoming customers, you will qualify and convert leads and manage the entire sales cycle You strive to meet and exceed monthly activity, pipeline, and revenue goals Build a pipeline of new business, and pursue upselling and cross-selling opportunities Responding to a large volume of inbound prospects and customers, and managing a high volume of opportunities from qualification to close will be a major part of your day Forecast and track all opportunity and customer details including use cases, purchase timeframes, and next steps You work closely with our diverse, international and welcoming teams from SDR to Marketing What we offer - Diverse and internationally distributed team : joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. - Open communication, regular feedback : as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy makes us better together. - Remote work, flexible hours : whether you're near or in our hub in London, or prefer the comfort of your own home, you decide where your office is. We offer remote opportunities, flexible working hours and trust in your productivity, all in sync with your team's general locations and time zones to foster effective and seamless collaboration. Our aim is to integrate your work with your lifestyle, ensuring a balance that respects both your needs and our operational requirements. - Regular in-person team events : we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. - Monthly full-day hacking sessions : every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. - Comprehensive health insurance : your health comes first. With our comprehensive insurance, we'll make sure you're covered from head to toe. - 30 days of annual leave : we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. - Annual learning budget : because we never stop learning, we've set up an annual budget for your professional development-pick a learning path which contributes to your career development and we'll back you up. Qualities we look for 3+ years of full-cycle experience Expertise in software sales - especially SaaS - preferred Experience in opening or developing Turkey as a region for a SaaS vendor Exceptional organisation, presentation, and communication skills (both verbal and written) You feel at home in a fast-paced start-up environment: you're able to shift priorities and adapt to dynamic situations You enjoy being part of a team and thrive by supporting your colleagues and collaborating with cross-functional teams Fluent English and Turkish (C1/C2)in your everyday work is no challenge for you If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply-let's discover your potential together. We can't wait to meet you!
Mar 26, 2024
Full time
Europe's leading AI company since 2017, is dedicated to breaking down language barriers and bringing cultures closer together. Our expertise in AI and neural networks has enabled us to create cutting-edge communication technologies for businesses, including the acclaimed DeepL Translator which offers 30+ languages, and DeepL Write, our AI writing companion. Our core offering includes a suite of products and tools made for businesses to communicate more effectively, both internally and with their customers around the globe. Our goal is to become the global leader in Language AI and build products that help drive better communication, drive connection, and make real-life impact. To do that, we need talented people, like you, who want to be a part of this exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination. What sets us apart? We are committed to innovation and to a nurturing work environment. Founded by developers and researchers, we spend a lot of time actively reviewing the latest trends in generative AI and software engineering. Known for pioneering AI technologies, we dive deep into cutting-edge research to create not only translations, but advanced language solutions. Combining our use of modern technology, comprehensive employee benefits with our open and welcoming work culture is what sets us apart. When we tell people about DeepL as an employer, the reactions are overwhelmingly positive. Maybe it's because of the products that have helped countless people worldwide, or maybe it's because of our shared goal of improving communication for individuals and businesses worldwide. What we're certain of is this: being part of DeepL means joining a team committed to innovation and the well-being of its employees. Your responsibilities As the first person to break into Turkey,you will lead in creating, defining and executing aterritory plan to ensure the brand new region is successful You will be at the forefront of DeepL's rapid growth and present our market-leading translation service to clients in order to eliminate their language barriers within Turkey Become an ambassador for DeepL's products and an expert on our customers' needs in order to troubleshoot and rapidly resolve inquiries As a trusted partner to potential new business and incoming customers, you will qualify and convert leads and manage the entire sales cycle You strive to meet and exceed monthly activity, pipeline, and revenue goals Build a pipeline of new business, and pursue upselling and cross-selling opportunities Responding to a large volume of inbound prospects and customers, and managing a high volume of opportunities from qualification to close will be a major part of your day Forecast and track all opportunity and customer details including use cases, purchase timeframes, and next steps You work closely with our diverse, international and welcoming teams from SDR to Marketing What we offer - Diverse and internationally distributed team : joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. - Open communication, regular feedback : as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy makes us better together. - Remote work, flexible hours : whether you're near or in our hub in London, or prefer the comfort of your own home, you decide where your office is. We offer remote opportunities, flexible working hours and trust in your productivity, all in sync with your team's general locations and time zones to foster effective and seamless collaboration. Our aim is to integrate your work with your lifestyle, ensuring a balance that respects both your needs and our operational requirements. - Regular in-person team events : we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. - Monthly full-day hacking sessions : every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. - Comprehensive health insurance : your health comes first. With our comprehensive insurance, we'll make sure you're covered from head to toe. - 30 days of annual leave : we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. - Annual learning budget : because we never stop learning, we've set up an annual budget for your professional development-pick a learning path which contributes to your career development and we'll back you up. Qualities we look for 3+ years of full-cycle experience Expertise in software sales - especially SaaS - preferred Experience in opening or developing Turkey as a region for a SaaS vendor Exceptional organisation, presentation, and communication skills (both verbal and written) You feel at home in a fast-paced start-up environment: you're able to shift priorities and adapt to dynamic situations You enjoy being part of a team and thrive by supporting your colleagues and collaborating with cross-functional teams Fluent English and Turkish (C1/C2)in your everyday work is no challenge for you If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply-let's discover your potential together. We can't wait to meet you!
End Date Thursday 04 April 2024 Salary Range £71,825 - £84,500 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary JOB TITLE: Product Owner - Customer Data Services Lab LOCATION(S): Bristol HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites Our Mission We're on a journey to build the bank of the future, and we need your help. We re continuing our extensive data transformation programme, redefining what a bank is from the inside out. Become part of our diverse team where you ll impact the lives of more than 26 million customers through brands including Lloyds Bank, Halifax, Bank of Scotland, and Scottish Widows. Why we re doing this? We're committed to Help Britain Prosper and become the best bank for customers. As part of this, we're redefining our data and digital capabilities, providing customers with personalised, simpler, continuous interactions across online, mobile and branches. Our digital platforms (public website, mobile & tablet app, and internet banking website) are where the majority of customer and colleague interactions with the bank take place. They are becoming increasingly sophisticated with the introduction of public API's, growing numbers of devices to access them from and evolving operating systems. Job Description The Team In the Customer Data Services (CDS) Lab, we have an opportunity to join the team at the heart of the Bank s data strategy, where Customer Data is owned and provided across the Group via APIs and strategic streaming technology to enable customer journeys across all the core channels - Internet Banking, Telephony and Branch. CDS prides itself on providing a collaborative environment where s everyone opinion is valued and crowdsourcing ideas to ensure we identify the right solution whatever the challenge. We provide data services to stakeholders across the Bank from integrating new Insurance Pensions & Investment (IP&I) systems into OCIS, to enabling the latest Mobile App functionality through providing access to our APIs. As a Product Owner in the CDS Lab, you'll have the opportunity and responsibility to engage and collaborate with those stakeholders giving you a truly cross-Divisional perspective on Group Data change roadmaps and strategy. The CDS Lab resides in the Data & Machine Learning Platform (D&ML). We provide and maintain all the personal and non-personal Customer party Data for the Bank. There are 40 million+ customer records on our customer applications and we thereby provide a critical enabling service to the Group as we support 14+ Critical Business Processes across the Bank from logon to payments. The services we provide include mastery of data and holder of customer single source of truth (includes managing customer data architecture, write and read customer data, integrate new customer data via mergers & acquisitions and data quality across the data lifecycle), provide subscription to customer APIs for processes to access customer data, match & merge data, source and provide reference data and remediate data to resolve data quality issues. We're the customer domain owner for personal data and applications such as OCIS, and we service and maintain the non-personal data and applications such as COM CMD for the Bank. We also source and supply a range of internal and external reference data to the Group. We service all divisions across the Bank including Retail, Commercial, Insurance & Wealth, Enterprise Data and Digital Platforms as well as internal divisions such as Finance, Risk, Tax. We're currently on a journey to progressively modernise our Customer Data technology estate and are building out our public cloud technologies and capabilities, which is the new Customer Data Platform. This will be the strategic customer Group data solution and asset for the Bank that will used by all divisions and cross-functional areas. This new platform is being built on public cloud technology and will involve several modern technology components including inbound data streaming services, a new customer database, new system of insight as well as customer APIs and outbound streaming services. The platform will also need the ability to stream data from on -prem systems and applications. A key offering from this new platform will be Customer Data Products and Analytical Customer Data Products to the different divisions across the Group. The role will work closely with the Foundational Data Products Lab in DML, which is overseeing the delivery of all the Enterprise Data products / services to the Group. Our team is looking for a hardworking and adaptable Product Owner. A technical leader with data domain expertise, a growth mind-set, and a dedication to leading change. As Product Owner for the Lab, you'll realise value for customers and stakeholders by ensuring that teams are working on the right priorities, achieved by fostering collaborative, empowered teams and nurturing them to take ownership of the relevant outcomes. We want our Product Owners to stimulate innovation whilst mitigating risk, conducting data driven test and learn activities. What You ll Do Work together with your Lead Engineering counterpart in a 'two-in-a-box' model to jointly lead the product team providing a great value proposition to your stakeholders from across the company. Lead agile multi-disciplinary teams by blending both deep domain and technical expertise across a number of component and feature teams who build, deploy, and maintain capabilities and services enabling earlier value release for our customers. Within the framing of a reference architecture and strategy, work with business areas and engineering to set the product direction and roadmap for the product and services. Engage with senior business leaders to understand long-term strategic data challenges. Meet the needs of customers related to a range of products and services, defining Business Value Goals that resonate with your data stakeholders. Articulate a Product Vision and Roadmap to take your stakeholders on the journey. Be an advocate for the client within the Lab working in a cross-disciplinary team, delivering exciting customer driven solutions and high-quality software. Work alongside multiple divisions in an agile environment dealing with backlogs and delivering use cases for the various business units as well as working on software orientated products/projects. Continuously show and prove the value of the team s outcomes. Take responsibility to formally grow capabilities within the data business, while personally investing in the growth of own and others' capabilities elsewhere in the organisation through mentoring and other informal methods. Take responsibility for developing and delivering change management plans and achieving outcomes that support the organisation's overall strategy. Be part of the broader Data & Machine Learning product owner community driving and supporting initiatives Hire and grow delivery talent as well as coaching and mentoring colleagues to enable them to reach their full potential. Play a key role in the transformation of data and its migration from legacy to Google cloud. About You Have a passion for Customer Data and our abilities to provide a single source of truth for Customer Data to the entire Group. This involves knowing what it means to provide a Single Customer View of a customer or party not only in terms of the products and services a customer or party might hold right across the Group but also other core customer information such as if that customer is also a supplier to the Bank, key risk data about that customer, etc. Have an interest in and ideally experience in shaping and defining Data Products for insights and analytics Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs to be a key part of your DNA. A Strategic thinker when defining a product vision and direction in the delivery of a complete product experience from initiation to implementation and support. Expertise in product ownership and management, proto-typing, building, deploying, and maintaining large scale data solutions. Ability to lead multi-disciplinary, mixed, geographically distributed teams across the project lifecycle. An experienced product owner and leader, able to inspire and encourage the best from their teams, who can relate to our customer s challenges and translate their emotions into real solutions. Ability to lead a team aligning them toward common goals with conviction, compassion, and diplomacy. Ability to communicate, translate and present critical information to multi-skilled people and teams at different levels in the organisation, understanding their differing needs. A researcher who has a deep understanding of their customers and market with the ability to untangle and interpret the wealth of information into meaningful strategies. Data domain skills and an understanding of the technology behind your product as well as understanding how it is built and that entails methodologies, processes and tools used to create efficient teams and agile delivery. . click apply for full job details
Mar 26, 2024
Full time
End Date Thursday 04 April 2024 Salary Range £71,825 - £84,500 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working Job Description Summary JOB TITLE: Product Owner - Customer Data Services Lab LOCATION(S): Bristol HOURS: Full Time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites Our Mission We're on a journey to build the bank of the future, and we need your help. We re continuing our extensive data transformation programme, redefining what a bank is from the inside out. Become part of our diverse team where you ll impact the lives of more than 26 million customers through brands including Lloyds Bank, Halifax, Bank of Scotland, and Scottish Widows. Why we re doing this? We're committed to Help Britain Prosper and become the best bank for customers. As part of this, we're redefining our data and digital capabilities, providing customers with personalised, simpler, continuous interactions across online, mobile and branches. Our digital platforms (public website, mobile & tablet app, and internet banking website) are where the majority of customer and colleague interactions with the bank take place. They are becoming increasingly sophisticated with the introduction of public API's, growing numbers of devices to access them from and evolving operating systems. Job Description The Team In the Customer Data Services (CDS) Lab, we have an opportunity to join the team at the heart of the Bank s data strategy, where Customer Data is owned and provided across the Group via APIs and strategic streaming technology to enable customer journeys across all the core channels - Internet Banking, Telephony and Branch. CDS prides itself on providing a collaborative environment where s everyone opinion is valued and crowdsourcing ideas to ensure we identify the right solution whatever the challenge. We provide data services to stakeholders across the Bank from integrating new Insurance Pensions & Investment (IP&I) systems into OCIS, to enabling the latest Mobile App functionality through providing access to our APIs. As a Product Owner in the CDS Lab, you'll have the opportunity and responsibility to engage and collaborate with those stakeholders giving you a truly cross-Divisional perspective on Group Data change roadmaps and strategy. The CDS Lab resides in the Data & Machine Learning Platform (D&ML). We provide and maintain all the personal and non-personal Customer party Data for the Bank. There are 40 million+ customer records on our customer applications and we thereby provide a critical enabling service to the Group as we support 14+ Critical Business Processes across the Bank from logon to payments. The services we provide include mastery of data and holder of customer single source of truth (includes managing customer data architecture, write and read customer data, integrate new customer data via mergers & acquisitions and data quality across the data lifecycle), provide subscription to customer APIs for processes to access customer data, match & merge data, source and provide reference data and remediate data to resolve data quality issues. We're the customer domain owner for personal data and applications such as OCIS, and we service and maintain the non-personal data and applications such as COM CMD for the Bank. We also source and supply a range of internal and external reference data to the Group. We service all divisions across the Bank including Retail, Commercial, Insurance & Wealth, Enterprise Data and Digital Platforms as well as internal divisions such as Finance, Risk, Tax. We're currently on a journey to progressively modernise our Customer Data technology estate and are building out our public cloud technologies and capabilities, which is the new Customer Data Platform. This will be the strategic customer Group data solution and asset for the Bank that will used by all divisions and cross-functional areas. This new platform is being built on public cloud technology and will involve several modern technology components including inbound data streaming services, a new customer database, new system of insight as well as customer APIs and outbound streaming services. The platform will also need the ability to stream data from on -prem systems and applications. A key offering from this new platform will be Customer Data Products and Analytical Customer Data Products to the different divisions across the Group. The role will work closely with the Foundational Data Products Lab in DML, which is overseeing the delivery of all the Enterprise Data products / services to the Group. Our team is looking for a hardworking and adaptable Product Owner. A technical leader with data domain expertise, a growth mind-set, and a dedication to leading change. As Product Owner for the Lab, you'll realise value for customers and stakeholders by ensuring that teams are working on the right priorities, achieved by fostering collaborative, empowered teams and nurturing them to take ownership of the relevant outcomes. We want our Product Owners to stimulate innovation whilst mitigating risk, conducting data driven test and learn activities. What You ll Do Work together with your Lead Engineering counterpart in a 'two-in-a-box' model to jointly lead the product team providing a great value proposition to your stakeholders from across the company. Lead agile multi-disciplinary teams by blending both deep domain and technical expertise across a number of component and feature teams who build, deploy, and maintain capabilities and services enabling earlier value release for our customers. Within the framing of a reference architecture and strategy, work with business areas and engineering to set the product direction and roadmap for the product and services. Engage with senior business leaders to understand long-term strategic data challenges. Meet the needs of customers related to a range of products and services, defining Business Value Goals that resonate with your data stakeholders. Articulate a Product Vision and Roadmap to take your stakeholders on the journey. Be an advocate for the client within the Lab working in a cross-disciplinary team, delivering exciting customer driven solutions and high-quality software. Work alongside multiple divisions in an agile environment dealing with backlogs and delivering use cases for the various business units as well as working on software orientated products/projects. Continuously show and prove the value of the team s outcomes. Take responsibility to formally grow capabilities within the data business, while personally investing in the growth of own and others' capabilities elsewhere in the organisation through mentoring and other informal methods. Take responsibility for developing and delivering change management plans and achieving outcomes that support the organisation's overall strategy. Be part of the broader Data & Machine Learning product owner community driving and supporting initiatives Hire and grow delivery talent as well as coaching and mentoring colleagues to enable them to reach their full potential. Play a key role in the transformation of data and its migration from legacy to Google cloud. About You Have a passion for Customer Data and our abilities to provide a single source of truth for Customer Data to the entire Group. This involves knowing what it means to provide a Single Customer View of a customer or party not only in terms of the products and services a customer or party might hold right across the Group but also other core customer information such as if that customer is also a supplier to the Bank, key risk data about that customer, etc. Have an interest in and ideally experience in shaping and defining Data Products for insights and analytics Strength in collaboration as Data & Machine Learning Platform requires its Labs and Programmes to collaborate in building end-to-end Data products and services across LBG; so, collaboration needs to be a key part of your DNA. A Strategic thinker when defining a product vision and direction in the delivery of a complete product experience from initiation to implementation and support. Expertise in product ownership and management, proto-typing, building, deploying, and maintaining large scale data solutions. Ability to lead multi-disciplinary, mixed, geographically distributed teams across the project lifecycle. An experienced product owner and leader, able to inspire and encourage the best from their teams, who can relate to our customer s challenges and translate their emotions into real solutions. Ability to lead a team aligning them toward common goals with conviction, compassion, and diplomacy. Ability to communicate, translate and present critical information to multi-skilled people and teams at different levels in the organisation, understanding their differing needs. A researcher who has a deep understanding of their customers and market with the ability to untangle and interpret the wealth of information into meaningful strategies. Data domain skills and an understanding of the technology behind your product as well as understanding how it is built and that entails methodologies, processes and tools used to create efficient teams and agile delivery. . click apply for full job details
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Mar 26, 2024
Full time
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 21 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics.Why? Refurbished tech helps lower our collective environmental impact . We have indeed contributed to avoid the production of more than 1,000,000tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. About the Job We are hiring a Senior Product Managerto create the future of Back Market's relationship with customers by discovering new opportunities and optimising what we have from supporting device sales (smartphones, laptops, desktops, consoles, accessories, etc.), services attachment (insurance, mobile plans ), and circularity (trade-in and more to come). You'll be the squad leader and collaborate with our business teams, engineers, product designers, and researchers. The customer journey web & app is our storefront to millions of users globally. It is central to the company strategy to evangelize 'refurbished tech' and circular economy for electronic devices. The Back Market product scope is very wide, so it's an opportunity to shape a better future and significantly impact millions of people. And eventually to help the world make more of what we already have! This will require a deep understanding of the refurbished space and our customers needs. You will be surrounded by experts who will support you in rethinking the future of the customer experience in our different countries from Europe to the US and APAC. The hiring process is in 4 rounds: - Recruiter interview, - Product interview with live case study, - Business/Engineering stakeholders interview, - Cultural fit. Your mission (if you accept it): You lead your squad's vision by gathering strategic inputs and insights, synthesizing them into a compelling vision, and embarking to everyone with you. You are also responsible for defining your Northstar metric and KPIs: it drives the team toward concrete goals and impacts. You build strong roadmaps that embody the company strategy and consider the great other initiatives in the company. You are the entry point for all stakeholders to understand the short and long-term priorities, and you liaise with them to ensure your product fits perfectly into the Back Market experience (Services teams, Money journey teams, Operations with Logistics, Circularity, and Care teams, Legal, etc.). You are in charge of defining the most impactful iteration: you approach it methodically, balancing data centricity and emotional bonds that are at the heart of loved products. You can translate data into actionable insights. You communicate clearly and regularly on the risks and impacts of your roadmap and features: you know how to anticipate problems and dependencies to ensure a smooth delivery. The product management skills have no secret for you: you master the discovery steps (link with research, design, data), as well as delivery (testing and QA are part of the game!). You are the Engineering Manager's daily partner: you adjust priorities if needed, and your communication skills and ability to collaborate with engineers ensure our quality standards and commitments are met. Data is your best friend: data drives your decisions and vision You never work without data! You are in the right place if: You are fluent in English (multicultural teams) You have strong Product Manager experience 5/7+ years for senior/staff, ideally on a customer-facing side You have a proven track record of product vision (creating successful product vision) You have a strong business maturity, you understand the company challenges that come at each phase of growth, including the acquisition channels. You master soft skills like leadership, negotiation, and communication. This is highly appreciated by your stakeholders, who feel heard and engaged in your vision and operational activities. You have experience with facilitating difficult trade-offs and rallying people around a common plan You have product management experience in an agile environment (Scrum, Kanban, etc.) and you can shape product discovery and delivery according to agile principles. You are skilled with Product Designers, UX researchers, and Engineering teams & comfortable working with multiple strategic stakeholders You have a problem-solver attitude, comfortable navigating ambiguous situations using data and putting the user at the center of all your thoughts. You are driven by impact, fluent with data, and have a proven track record of measuring your impact thanks to A/B tests. You are a team player and know how to use soft power to embark people with you. WHY SHOULD YOU JOIN US ? - A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! - A meaningful company: we became a mission-driven company in January 2022. - Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges : you will have the freedom to innovate and adopt new ideas! - Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. - Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! - Leadership Academy by Back Market:"be a coach not a dictator" is at the core of this program ! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is an unique experience we take by heart. - An attractive salary, equity and a host of benefits including : Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc - Remote friendly company : up to 3 days of remote work per week! - One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. - Be part of one of our Employee Resource Groups createdaround shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. - Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). - We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.
Mar 22, 2024
Full time
Back Market is the world's leading refurbished electronics marketplace with a team of 650 people, powering operations in 21 countries (and counting!). Named one of the World's Most Innovative Companies by Fast Company in 2019 and again in 2021, our mission is simple: empowering people to consume tech sustainably by offering folks a high quality, accessible, and more eco-friendly alternative to buying new electronics.Why? Refurbished tech helps lower our collective environmental impact . We have indeed contributed to avoid the production of more than 1,000,000tons of CO2e worldwide since our launch in 2014. Be part of an exciting and growing international adventure that will change the way the world consumes tech. About the Job We are hiring a Senior Product Managerto create the future of Back Market's relationship with customers by discovering new opportunities and optimising what we have from supporting device sales (smartphones, laptops, desktops, consoles, accessories, etc.), services attachment (insurance, mobile plans ), and circularity (trade-in and more to come). You'll be the squad leader and collaborate with our business teams, engineers, product designers, and researchers. The customer journey web & app is our storefront to millions of users globally. It is central to the company strategy to evangelize 'refurbished tech' and circular economy for electronic devices. The Back Market product scope is very wide, so it's an opportunity to shape a better future and significantly impact millions of people. And eventually to help the world make more of what we already have! This will require a deep understanding of the refurbished space and our customers needs. You will be surrounded by experts who will support you in rethinking the future of the customer experience in our different countries from Europe to the US and APAC. The hiring process is in 4 rounds: - Recruiter interview, - Product interview with live case study, - Business/Engineering stakeholders interview, - Cultural fit. Your mission (if you accept it): You lead your squad's vision by gathering strategic inputs and insights, synthesizing them into a compelling vision, and embarking to everyone with you. You are also responsible for defining your Northstar metric and KPIs: it drives the team toward concrete goals and impacts. You build strong roadmaps that embody the company strategy and consider the great other initiatives in the company. You are the entry point for all stakeholders to understand the short and long-term priorities, and you liaise with them to ensure your product fits perfectly into the Back Market experience (Services teams, Money journey teams, Operations with Logistics, Circularity, and Care teams, Legal, etc.). You are in charge of defining the most impactful iteration: you approach it methodically, balancing data centricity and emotional bonds that are at the heart of loved products. You can translate data into actionable insights. You communicate clearly and regularly on the risks and impacts of your roadmap and features: you know how to anticipate problems and dependencies to ensure a smooth delivery. The product management skills have no secret for you: you master the discovery steps (link with research, design, data), as well as delivery (testing and QA are part of the game!). You are the Engineering Manager's daily partner: you adjust priorities if needed, and your communication skills and ability to collaborate with engineers ensure our quality standards and commitments are met. Data is your best friend: data drives your decisions and vision You never work without data! You are in the right place if: You are fluent in English (multicultural teams) You have strong Product Manager experience 5/7+ years for senior/staff, ideally on a customer-facing side You have a proven track record of product vision (creating successful product vision) You have a strong business maturity, you understand the company challenges that come at each phase of growth, including the acquisition channels. You master soft skills like leadership, negotiation, and communication. This is highly appreciated by your stakeholders, who feel heard and engaged in your vision and operational activities. You have experience with facilitating difficult trade-offs and rallying people around a common plan You have product management experience in an agile environment (Scrum, Kanban, etc.) and you can shape product discovery and delivery according to agile principles. You are skilled with Product Designers, UX researchers, and Engineering teams & comfortable working with multiple strategic stakeholders You have a problem-solver attitude, comfortable navigating ambiguous situations using data and putting the user at the center of all your thoughts. You are driven by impact, fluent with data, and have a proven track record of measuring your impact thanks to A/B tests. You are a team player and know how to use soft power to embark people with you. WHY SHOULD YOU JOIN US ? - A meaningful job: you will help avoid thousands of tons of electronic waste and fight against planned obsolescence. It counts! - A meaningful company: we became a mission-driven company in January 2022. - Be part of a worldwide growing company based in Europe, the USA and Asia to face great challenges : you will have the freedom to innovate and adopt new ideas! - Work alongside passionate experts: who will share their knowledge and help you develop and grow in your career. - Grow your career: with a flexible career path and a dedicated Learning & Development team. Back Market will help you evolve with personalized internal trainings and external handpicked providers from day 1! - Leadership Academy by Back Market:"be a coach not a dictator" is at the core of this program ! We train and enable all our leaders to support their team towards achieving goals. Be a manager at Back Market is an unique experience we take by heart. - An attractive salary, equity and a host of benefits including : Lunch voucher, health insurance, relocation package, paid time off for activism in your community, parental benefits, flexible hours, etc - Remote friendly company : up to 3 days of remote work per week! - One Loving Tribe: you will have the opportunity to work in a fast-paced, open-minded and friendly environment. - Be part of one of our Employee Resource Groups createdaround shared identities, common backgrounds and/or special interests crafted to be a safe space and an expressive outlet. - Several internal events: The Monday Brief (weekly)/ The Somehands (monthly)/ The All Hands (annual). - We're here to SABOTAGE: It's our mantra. It keeps us focused on what we aspire to be: a little bit sneaky, always smart, kinda frugal and constantly conspiring to create maximum impact. Back Market is an Equal Opportunity Employer which means we pledge to not discriminate against employees based on race, color, religion, sex, national origin, age, disability or genetic information If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Back Market is helping to address one of the biggest challenges of our time: climate change. We take this so seriously that we were awarded status as a "Société à Mission", or company with a social mission, by the French government. We know we can't tackle a global problem without a globally representative team so we are committed to embedding diversity, equity and inclusion principles in every aspect of our organization. But more importantly, being One Loving & Free Spirited Tribe is in our DNA as it is one of the five foundational values of our company since we got started way back in 2014. We are committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives. We know our lofty goals cannot be reached unless everyone has a seat at the table along with the resources and opportunity to grow.
Who are we? We're building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning. This is one of the world's hardest and most impactful problems to solve. Which is why we're building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society. What you'll do We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. This role is pivotal in supporting our Science teams' model training and cloud infrastructure efficiency. The ideal candidate will foster a collaborative and innovative culture, aligning team goals with company objectives and driving growth in AI technology. Essential qualifications include experience in MLOps, infrastructure management, and a strong background in embodied AI development. A passion for nurturing team growth and expertise in roadmap planning and stakeholder management are also crucial. This role requires a balance of technical acumen and strategic foresight, making it ideal for someone with a blend of hands-on experience and visionary leadership in an evolving landscape. Impact expected Lead a growing team of 6+ engineers and enabling company wide goals Deliver work needed to support all Science teams to train models and run cloud infrastructure efficiently. Provide a safe space for the team members to challenge each other and grow in their careers by intentional coaching and development. Partner with leadership, program managers and other peer EMs to maintain a culture of collaboration, impact, innovation, and health. Ensure goals of the team are aligned to company goals, and the team is set up for success Contribute to KPIs and metrics of the team, systems and tooling they provide currently. Intentionally invest in improvements that move the needle on ML engineers' productivity. Provide technical guidance where needed and rely on senior engineers on the team where necessary to make the decisions that drive the team and company forward Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment This role will be based in our London King's Cross HQ, but we are open to discussing hybrid roles for the right candidate. What we are looking for in our candidate Essential Prior experience as a manager of MLOps and Infra teams. Passionate about fostering personal and professional growth in individual team members, building inclusive high performing teams Industry experience with embodied AI development with real-world product impact. Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables. Prior hands-on Cloud Infrastructure and/or MLOps experience Desirable Experience working in a project-based ("matrix") operating environment Bachelors in Computer Science, Engineering, or similar experience (e.g STEM) Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/AWS etc. What we offer: Competitive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle one of the biggest challenges of our time Bespoke learning and development opportunities Flexible working hours - we trust you to do your job well, at times that suit you and your team Private onsite chef, in-house bar, lots of socials, and more! Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Mar 22, 2024
Full time
Who are we? We're building artificial intelligence capable of complex driving using end-to-end deep learning; one which can scale across diverse urban environments. Wayve is building a full driving software system which is data-driven at every layer, learning to drive. Our unique end-to-end machine learning approach learns to drive in complex, never-seen-before urban environments. We learn to drive with computer vision by both observing human driving, and by using reinforcement learning. This is one of the world's hardest and most impactful problems to solve. Which is why we're building a diverse, world-class team of people who are motivated by the opportunity to work with brilliant people on challenging problems that leave a positive impact on society. What you'll do We are seeking an Engineering Manager for our Machine Learning Platform (MLP) team, responsible for leading a team of over six engineers. This role is pivotal in supporting our Science teams' model training and cloud infrastructure efficiency. The ideal candidate will foster a collaborative and innovative culture, aligning team goals with company objectives and driving growth in AI technology. Essential qualifications include experience in MLOps, infrastructure management, and a strong background in embodied AI development. A passion for nurturing team growth and expertise in roadmap planning and stakeholder management are also crucial. This role requires a balance of technical acumen and strategic foresight, making it ideal for someone with a blend of hands-on experience and visionary leadership in an evolving landscape. Impact expected Lead a growing team of 6+ engineers and enabling company wide goals Deliver work needed to support all Science teams to train models and run cloud infrastructure efficiently. Provide a safe space for the team members to challenge each other and grow in their careers by intentional coaching and development. Partner with leadership, program managers and other peer EMs to maintain a culture of collaboration, impact, innovation, and health. Ensure goals of the team are aligned to company goals, and the team is set up for success Contribute to KPIs and metrics of the team, systems and tooling they provide currently. Intentionally invest in improvements that move the needle on ML engineers' productivity. Provide technical guidance where needed and rely on senior engineers on the team where necessary to make the decisions that drive the team and company forward Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment This role will be based in our London King's Cross HQ, but we are open to discussing hybrid roles for the right candidate. What we are looking for in our candidate Essential Prior experience as a manager of MLOps and Infra teams. Passionate about fostering personal and professional growth in individual team members, building inclusive high performing teams Industry experience with embodied AI development with real-world product impact. Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables. Prior hands-on Cloud Infrastructure and/or MLOps experience Desirable Experience working in a project-based ("matrix") operating environment Bachelors in Computer Science, Engineering, or similar experience (e.g STEM) Strong knowledge of Machine Learning and/or Cloud Infrastructure areas, such as Deep Learning, Natural Language Processing, Computer Vision,or Kubernetes, Azure/GCP/AWS etc. What we offer: Competitive compensation with salary and equity Immersion in a team of world-class researchers, engineers and entrepreneurs A unique position to shape the future of autonomy and tackle one of the biggest challenges of our time Bespoke learning and development opportunities Flexible working hours - we trust you to do your job well, at times that suit you and your team Private onsite chef, in-house bar, lots of socials, and more! Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow.
Facebook is seeking a Postdoctoral Researcher to join Facebook AI Research, a research organization focused on making fundamental progress in AI. Facebook AI Research (FAIR) conducts cutting-edge research to deepen our understanding of existing AI methods and advance the state-of-the-art.For this position, the applicant will engage with the supervisor and other researchers in Facebook AI Research (FAIR) to develop and implement research agenda, publish world-class research works, and make external impact. You will apply high standards to the research and develop an ability to identify highly impactful projects in a complex and unexplored domain. You will be able to gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Postdoc research areas may include Machine Learning, Computer Vision, Natural Language Processing, Speech & Audio, Conversational AI, Theory, Reinforcement Learning, Robotics, Graphics, Human & Machine Intelligence, or other similar fields.Postdoc positions are one year fixed-term positions, and we have opportunities across several regions. We will interview during the following hiring windows in 2022. Candidates are welcome to apply at any time, but may not hear back if their application is received outside of these timeframes:March 18, 2022 - April 29, 2022June 20, 2022 - July 22, 2022September 18, 2022 - October 14, 2022 Postdoctoral Researcher, Artificial Intelligence (PhD) Responsibilities: Perform research to advance the science and technology of intelligent machines. Collaborate with your supervisor and other researchers to discuss, develop and implement research agenda. Write and debug high-quality research code and research papers. Design and implement experiments to test research ideas on a variety of problems. High quality papers and present research at conferences. Minimum Qualifications: Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in Computer Science or a similar field. Degree must be completed prior to joining Meta. Research background in Machine Learning, Natural Language Processing, Computer Vision, Speech, Robotics, Graphics, or similar field. Experience solving analytical problems using analytic and quantitative approaches. Experience communicating research. Experience coding in C/C++, Python, C#, or other similar language. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment. Preferred Qualifications: First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH, CoRL, ICASSP, INTERSPEECH, ACL, NAACL, EMNLP, or similar). Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions. Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward. Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment.
Sep 24, 2022
Full time
Facebook is seeking a Postdoctoral Researcher to join Facebook AI Research, a research organization focused on making fundamental progress in AI. Facebook AI Research (FAIR) conducts cutting-edge research to deepen our understanding of existing AI methods and advance the state-of-the-art.For this position, the applicant will engage with the supervisor and other researchers in Facebook AI Research (FAIR) to develop and implement research agenda, publish world-class research works, and make external impact. You will apply high standards to the research and develop an ability to identify highly impactful projects in a complex and unexplored domain. You will be able to gain valuable experience in a top-tier research institute, publish academic papers on a regular basis, and build your reputation across the world. Postdoc research areas may include Machine Learning, Computer Vision, Natural Language Processing, Speech & Audio, Conversational AI, Theory, Reinforcement Learning, Robotics, Graphics, Human & Machine Intelligence, or other similar fields.Postdoc positions are one year fixed-term positions, and we have opportunities across several regions. We will interview during the following hiring windows in 2022. Candidates are welcome to apply at any time, but may not hear back if their application is received outside of these timeframes:March 18, 2022 - April 29, 2022June 20, 2022 - July 22, 2022September 18, 2022 - October 14, 2022 Postdoctoral Researcher, Artificial Intelligence (PhD) Responsibilities: Perform research to advance the science and technology of intelligent machines. Collaborate with your supervisor and other researchers to discuss, develop and implement research agenda. Write and debug high-quality research code and research papers. Design and implement experiments to test research ideas on a variety of problems. High quality papers and present research at conferences. Minimum Qualifications: Currently has or is in the process of obtaining a PhD degree or completing a postdoctoral assignment in Computer Science or a similar field. Degree must be completed prior to joining Meta. Research background in Machine Learning, Natural Language Processing, Computer Vision, Speech, Robotics, Graphics, or similar field. Experience solving analytical problems using analytic and quantitative approaches. Experience communicating research. Experience coding in C/C++, Python, C#, or other similar language. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment. Preferred Qualifications: First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, SIGGRAPH, CoRL, ICASSP, INTERSPEECH, ACL, NAACL, EMNLP, or similar). Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions. Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward. Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment.
JOB AD: The AI team at is looking for exceptional research software engineers to join the growing team. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for devices and services.The prospective candidate will have the opportunity to be part of building next generation mobile devices The candidate will contribute to software development and research of new functionalities or enhancement current pipelines on flagship mobile devices. We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for personalised ML. Role and Responsibilities As a Research Software Engineer, you will: Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance. Understand and address software engineering questions that arise in research planning. Maintain knowledge of current and future software development tools and techniques for machine learning and AI research. Develop novel methods to improve on-device system performance, model size and accuracy. Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on devices. Have technical responsibility for one or more significant sections of the assigned research project. Translate complex functional and technical requirements into detailed design. Skills and Qualifications Required Skills PhD or MSc degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted). Demonstrated success: Professional software development experience with C++/ Python is required. Consistently using conventional and readable coding style. Performing test-driven development. Creating comprehensive and well-written documentation. Participating in regular code reviews. Developing and maintaining reproducible build systems. Familiarity with software engineering practices and tools such as Git, CI, Agile, etc. Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required. Research and development expertise of speech processing, and language modelling (e.g. speech recognition, NLP/NLU etc.) A proven track record in AI model development and deployment (on embedded devices is a plus). Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus). Good familiarity with relevant python libraries (such as NumPy) and tools (such as TensorBoard). Desirable Skills Experience with speech recognition algorithms. Expertise in deploying AI on Android. Publications in top ML/AI conferences (e.g. ICML, NeurIPS, Interspeech, SysML or similar). Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.
Feb 22, 2022
Contractor
JOB AD: The AI team at is looking for exceptional research software engineers to join the growing team. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for devices and services.The prospective candidate will have the opportunity to be part of building next generation mobile devices The candidate will contribute to software development and research of new functionalities or enhancement current pipelines on flagship mobile devices. We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for personalised ML. Role and Responsibilities As a Research Software Engineer, you will: Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance. Understand and address software engineering questions that arise in research planning. Maintain knowledge of current and future software development tools and techniques for machine learning and AI research. Develop novel methods to improve on-device system performance, model size and accuracy. Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on devices. Have technical responsibility for one or more significant sections of the assigned research project. Translate complex functional and technical requirements into detailed design. Skills and Qualifications Required Skills PhD or MSc degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted). Demonstrated success: Professional software development experience with C++/ Python is required. Consistently using conventional and readable coding style. Performing test-driven development. Creating comprehensive and well-written documentation. Participating in regular code reviews. Developing and maintaining reproducible build systems. Familiarity with software engineering practices and tools such as Git, CI, Agile, etc. Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required. Research and development expertise of speech processing, and language modelling (e.g. speech recognition, NLP/NLU etc.) A proven track record in AI model development and deployment (on embedded devices is a plus). Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus). Good familiarity with relevant python libraries (such as NumPy) and tools (such as TensorBoard). Desirable Skills Experience with speech recognition algorithms. Expertise in deploying AI on Android. Publications in top ML/AI conferences (e.g. ICML, NeurIPS, Interspeech, SysML or similar). Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.
JOB AD: The AI team at is looking for exceptional research software engineers to join the growing team. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for devices and services.The prospective candidate will have the opportunity to be part of building next generation mobile devices The candidate will contribute to software development and research of new functionalities or enhancement current pipelines on flagship mobile devices. We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for personalised ML. Role and Responsibilities As a Research Software Engineer, you will: Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance. Understand and address software engineering questions that arise in research planning. Maintain knowledge of current and future software development tools and techniques for machine learning and AI research. Develop novel methods to improve on-device system performance, model size and accuracy. Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on devices. Have technical responsibility for one or more significant sections of the assigned research project. Translate complex functional and technical requirements into detailed design. Skills and Qualifications Required Skills PhD or MSc degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted). Demonstrated success: Professional software development experience with C++/ Python is required. Consistently using conventional and readable coding style. Performing test-driven development. Creating comprehensive and well-written documentation. Participating in regular code reviews. Developing and maintaining reproducible build systems. Familiarity with software engineering practices and tools such as Git, CI, Agile, etc. Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required. Research and development expertise of speech processing, and language modelling (e.g. speech recognition, NLP/NLU etc.) A proven track record in AI model development and deployment (on embedded devices is a plus). Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus). Good familiarity with relevant python libraries (such as NumPy) and tools (such as TensorBoard). Desirable Skills Experience with speech recognition algorithms. Expertise in deploying AI on Android. Publications in top ML/AI conferences (e.g. ICML, NeurIPS, Interspeech, SysML or similar). Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.
Jan 10, 2022
Full time
JOB AD: The AI team at is looking for exceptional research software engineers to join the growing team. The team undertakes projects involving the application of cutting-edge research into proof-of-concept and commercial products for devices and services.The prospective candidate will have the opportunity to be part of building next generation mobile devices The candidate will contribute to software development and research of new functionalities or enhancement current pipelines on flagship mobile devices. We encourage enthusiastic researchers and engineers with a strong academic background and expertise in development of audio/speech related applications to apply. You will be poised to grow and expand your programming skills and expertise into a dynamic new set of research problems. This position will require you to work closely with researchers and engineers to enable and accelerate new research efforts for personalised ML. Role and Responsibilities As a Research Software Engineer, you will: Perform software engineering and development activities including requirements analysis, design, implementation, testing, deployment, and code maintenance. Understand and address software engineering questions that arise in research planning. Maintain knowledge of current and future software development tools and techniques for machine learning and AI research. Develop novel methods to improve on-device system performance, model size and accuracy. Develop and deploy state-of-the-art solutions for real-world large-scale AI problems with commercialization goals on devices. Have technical responsibility for one or more significant sections of the assigned research project. Translate complex functional and technical requirements into detailed design. Skills and Qualifications Required Skills PhD or MSc degree in Artificial Intelligence, Computer Science/Engineering, Electronics, Mathematics, or related disciplines (an equivalent period of industrial experience may be substituted). Demonstrated success: Professional software development experience with C++/ Python is required. Consistently using conventional and readable coding style. Performing test-driven development. Creating comprehensive and well-written documentation. Participating in regular code reviews. Developing and maintaining reproducible build systems. Familiarity with software engineering practices and tools such as Git, CI, Agile, etc. Excellent knowledge of fundamentals of machine learning and deep-learning concepts such as deep neural networks and personalisation is required. Research and development expertise of speech processing, and language modelling (e.g. speech recognition, NLP/NLU etc.) A proven track record in AI model development and deployment (on embedded devices is a plus). Experience with programming using machine learning frameworks (strong experience in Tensorflow is a plus). Good familiarity with relevant python libraries (such as NumPy) and tools (such as TensorBoard). Desirable Skills Experience with speech recognition algorithms. Expertise in deploying AI on Android. Publications in top ML/AI conferences (e.g. ICML, NeurIPS, Interspeech, SysML or similar). Contribution to open source ML frameworks such as -TensorFlow, TensorFlow Lite, etc.