Lead Machine Learning Scientist Jobs

At Spotify, our Subscriptions organisation helps listeners discover the value of Spotify, find the right subscription, and keep enjoying the content they love. From acquisition and activation to retention, commerce, and customer service, we build experiences that connect listeners with Spotify and support lasting relationships. We're looking for an Engineering Manager II to lead a team of data and backend engineers within our Subscriptions Mission. Your team will build data products, pipelines, and services that help teams understand listener needs and deliver more relevant experiences. You'll work closely with product managers, data scientists, business partners, and engineers to turn complex challenges into reliable solutions. You'll also create an environment where engineers can grow, collaborate, and make a meaningful impact. What You'll Do Lead, support, and develop a team of data and backend engineers, creating an inclusive environment where everyone can contribute and grow. Work with product managers, business partners, and engineering teams to set priorities and build data products that improve the subscription experience. Guide the development of reliable, scalable data pipelines and backend services that support targeting, messaging, personalisation, and machine learning. Help your team make informed technical decisions, balancing data quality, reliability, business needs, and long-term maintainability. Support engineers through regular feedback, coaching, career development, and opportunities to share knowledge. Collaborate across teams to manage dependencies, solve challenges, and build shared data solutions. Improve engineering practices, including service reliability, sustainable on-call processes, and responsible data management. Explore opportunities to use AI and

As the Manager of Model Validation & Verification (VnV) for Behavior Autonomy, you will lead an engineering and data science team responsible for evaluating, benchmarking, and validating the machine learning models and behavioral algorithms that drive our autonomous vehicle (AV) prediction and planning stacks. You will own the statistical frameworks, offline/online evaluation metrics, and validation pipelines that ensure our behavioral models operate safely, comfortably, and predictably. Operating at the intersection of Data Science, Machine Learning, and Safety Engineering, you will partner closely with Autonomy Software, Prediction, Planner, and ML Operations teams to establish data driven release criteria for our AV fleet. In this role, you will: Team Leadership & Execution: Lead, mentor, and scale a high-performing team of Data Scientists, ML Validation Engineers, and Software Engineers while driving roadmaps, sprint execution, resource allocation, and high-throughput model releases with rigorous safety guardrails. Culture of Rigor: Foster a culture of statistical excellence, healthy skepticism, proactive risk tracking, and data-driven decision-making. Validation Strategy & Methodologies: Define and execute end-to-end validation strategies across offline evaluation, open/closed-loop simulation, and shadow-mode fleet benchmarking to ensure robust behavioral model performance. Statistical uncertainties, and regressions into clear, data-driven recommendations for release gating and executive leadership. Metrics, Release Gating & Rigor: Oversee metric development and standardization with System Safety and Autonomy teams, establishing quantitative go/no-go release criteria for Behavioral Planner and Prediction ML models while fostering statistical rigor and proactive risk management. Cross-Functional & Infrastructure Partnership: Partner closely with Planner, Prediction, MLOps

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that keep our models from contributing to catastrophic harm. We are hiring a manager to lead the research engineering team responsible for biological safety: the evaluations, datasets, and classifiers that govern how our models handle biological knowledge. You will lead a team of research scientists and engineers who design and run capability evaluations against frontier models, curate training data for our safety classifiers, train and iterate on those classifiers alongside our ML engineers, and measure how they hold up against adversarial pressure in production traffic. You will set the technical direction for that work, decide where the team invests, and own the results. This is a hands-on management role. Most of your time goes to growing and directing the team, but you will keep enough technical depth to review an eval design, interrogate a classifier's failure modes, and represent the work credibly to Research, Product, and Policy partners. The core tension your team owns is precision: safeguards need to be robust against sophisticated actors while staying out of the way of the far larger population of legitimate researchers using Claude to accelerate life sciences work. Getting that tradeoff right is an empirical problem, and your team is the one measuring it. Key responsibilities Manage, coach, and grow a team of research scientists and engineers working on biological safety evaluations and classifiers, including hiring, onboarding, performance, and career development Set the technical direction and roadmap for the biol

RDQ427R541 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Databricks’ Developer Relations team is looking for a leader to manage our open source Developer Advocates, deepen our engagement across the Apache Software Foundation and Linux Foundation communities, and lead technical storytelling and experiences that strengthen trust and adoption. This role is ideal for someone who thrives in the spotlight, is known and respected in open source communities, and gets even more satisfaction from growing other advocates than from giving the keynote themselves. As the Developer Advocate Manager for Open Source, you'll lead the team that advocates for the projects Databricks builds in the open, and serve as a crucial link between our engineering teams and the global community of practitioners building their careers on them. Your team's remit spans the Open Lakehouse — Apache Spark™ (including Spark Declarative Pipelines), Delta Lake, Unity Catalog, Apache Iceberg™, and MLflow — as well as Omnigent, our open source meta-harness for composing, governing, and sharing AI agents. As the original creators of Apache Spark™, Delta Lake, and MLflow, we hold ourselves to a high standard here: our credibility in these communities is earned continuously, not inherited. This role will leverage your expertise in building and scaling a developer relations team, and it will build on your standing within the open source world and your working relationships with the Apache Software Found

RDQ427R541 At Databricks, we are passionate about enabling data teams to solve the world's most challenging problems — from making the next mode of transportation a reality to accelerating medical breakthroughs. We do this by building and running the world's best data and AI platform, enabling our customers to use deep data insights to improve their businesses. Our ability to execute this mission depends on building trust and recognition within an ever-growing community of data engineers, analysts, scientists, machine learning practitioners, and AI practitioners. Databricks’ Developer Relations team is looking for a leader to manage our open source Developer Advocates, deepen our engagement across the Apache Software Foundation and Linux Foundation communities, and lead technical storytelling and experiences that strengthen trust and adoption. This role is ideal for someone who thrives in the spotlight, is known and respected in open source communities, and gets even more satisfaction from growing other advocates than from giving the keynote themselves. As the Developer Advocate Manager for Open Source, you'll lead the team that advocates for the projects Databricks builds in the open, and serve as a crucial link between our engineering teams and the global community of practitioners building their careers on them. Your team's remit spans the Open Lakehouse — Apache Spark™ (including Spark Declarative Pipelines), Delta Lake, Unity Catalog, Apache Iceberg™, and MLflow — as well as Omnigent, our open source meta-harness for composing, governing, and sharing AI agents. As the original creators of Apache Spark™, Delta Lake, and MLflow, we hold ourselves to a high standard here: our credibility in these communities is earned continuously, not inherited. This role will leverage your expertise in building and scaling a developer relations team, and it will build on your standing within the open source world and your working relationships with the Apache Software Found

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere. The Team The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision We pursue large scientific challenges that cannot be pursued in conventional environments We enable individual investigators to pursue their riskiest and most innovative ideas The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Biohub Chicago is seeking an exceptional Computational Biologist, Spatiotemporal Multi-Omics to join our growing team. We are looking for a creative and collaborative bioinformatics researcher who is excited to build the analytical foundation for our spatiotemporal multi-omics technology platform. What You'll Do Develop data analysis workflows for spatiotemporal and multi-omics datasets. Build visualization tools that enable exploration and interpretation of complex biological data across space and time. Integrate proteo

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems we work on and the data-rich environment of our business make it possible and essential to bring the tools of multiple disciplines to bear on our hardest problems. We are looking for an experienced team manager for Growth Algorithms to lead a talented group of data scientists responsible for optimizing client acquisition, retention, and reactivation. The team works across the client lifecycle—from paid media and onboarding to site experiences, CRM, incentives, and reactivation—using experimentation, predictive modeling, and personalized recommendations to help clients discover value and build lasting relationships with Stitch Fix. This is a highly cross-functional leadership role. This leader will bring a compelling data science vision that gives the team focus and inspires partners, while building trusted relationships across Product, Marketing, Engineering, Finance, Design, Enterprise Analytics, and other Algorithms teams. This leader will emphasize technical excellence while influencing business strategy, im

At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About the role: As a Forward Deployed Engineer at Anyscale, you will partner directly with our most strategic customers, including Spanish-speaking customers across Latin America and other regions, to ensure they achieve meaningful business outcomes with Ray and the Anyscale platform. Embedded within customer teams, you’ll act as a trusted advisor, aligning technical solutions with customer priorities, accelerating time-to-value, and driving adoption at scale. You’ll work across customer organizations — from technical leadership to individual contributors — to scope and deliver impactful solutions. By connecting insights from the field back to our product and engineering teams, you’ll help shape Anyscale’s roadmap and ensure we remain focused on solving our customers’ most critical challenges. In this role, you will: Work onsite with key customers to lead proof-of-value engagements, deployments, and enterprise adoption Translate business objectives into technical solutions that demonstrate clear ROI and strategic impact Build and deliver high-impact demos, reference architectures, and enablement programs tailored to customer needs Act as a trusted advisor across all levels of the organization, ensuring confidence in Anyscale and

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products. PRIMARY RESPONSIBILITIES: Strategy and Vision Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development. Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices Infrastructure and Automation Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms. Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production. Cross-Functional Collaboration Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization Team Leadership Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership. Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health. QUALIFICATIONS: Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. Hands-on experience archi

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products. PRIMARY RESPONSIBILITIES: Strategy and Vision Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development. Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices Infrastructure and Automation Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms. Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production. Cross-Functional Collaboration Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization Team Leadership Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership. Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health. QUALIFICATIONS: Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent). Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. Hands-on experience archi

About the Team Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat. About the role Are you a strategic thinker with a passion for solving large-scale problems using data? Do you enjoy mentoring high-performing teams and building ML systems that directly impact millions of users? We're looking for a Director - Data Science to lead a team of skilled data scientists in building intelligent systems that power Meesho’s next phase of growth. In this role, you’ll own the data science roadmap for a key business charter, guiding the team through ambiguity and complexity to deliver production-grade ML solutions. You’ll work closely with product, tech, and business leaders to translate complex challenges into scalable, measurable, and impactful outcomes. As a people and technical leader, you’ll ensure model efficiency, system reliability, and scientific excellence while fostering a culture of innovation, collaboration, and continuous improvement. What You Will Do Lead, grow, and mentor a high-performing team of data scientists.. Own all data science systems and models in your charter — from strategy to deployment and monitoring. <li style="font-size:

Who are we? Artefact is a new generation of a data service provider, specialised in data consulting and data-driven digital marketing. Our purpose? Ev ery day we boost our clients’ data transformation into business impact across the entire value chain of organisations. Our strength? Our data services stand on a double expertise: the combination of Artificial Intelligence and the business prowess acquired from our customers around the world, such as AccorHotels, Orange, Carrefour, Engie, Samsung, L'Oréal, Nissan... Artefact’s success comes from a unique mix of company assets: cutting-edge data technologies, agile methodologies for fast delivery, cohesive teams assembling the finest business consultants, data analysts, data scientists, data engineers, and digital marketing experts. Artefact is : 13 offices in Paris, London, Shanghai, Dubai... 900 employees 4 practices: Data Consulting, Data Marketing, Activation and Creation What you will be doing: Key responsibilities As a Data Director, your role will encompass: Strategic Leadership and Management Lead and expand the data science team, ensuring alignment with the company's strategic objectives. Develop and oversee the execution of ambitious data transformation projects, ensuring they meet client needs and business goals. Drive collaboration across different divisions—such as Activation, Creativity, and Strategy—to deliver comprehensive, integrated solutions that enhance client satisfaction and service delivery. Client Engagement and Relationship Management Build and maintain senior-level relationships with clients, becoming a trusted advisor for their data strategy and transformation efforts. Regularly present insights and strategic recommendations to clients and internal stakeholders, showcasing the value and impact of data-driven decision-making. Operational Excellence and Innovation Ensure the successful delivery of data projects, setting high standards for timeliness and quality.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Fraud Data is the data science and machine learning team within Plaid’s Fraud organization, responsible for using data and ML to improve and scale Plaid’s fraud products. Within Fraud Data, the Customer & Product Intelligence team focuses on understanding product performance, uncovering customer insights, and enabling go-to-market teams with data-driven solutions. The team partners closely with customers and GTM teams on fraud analyses and proofs of concept, turning customer learnings into scalable, reusable product capabilities. We also build the metrics, analytics, and data foundations that measure product health, identify opportunities for improvement, and guide product decisions across Plaid’s Fraud portfolio. As a Data Science Manager, you will lead a team responsible for customer-facing data science and Fraud product analytics. You will set the team's roadmap, develop its data scientists, and remain involved in analytical methods, technical reviews, and customer investigations. You will: Set a 6–12-month roadmap with Product, Engineering, and GTM, and assign priorities and responsibilities across the team. Define product metrics, their underlying data, and reporting and

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g