Machine Learning Manager Jobs

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization’s mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and creators. WHY CREATOR SERVICES? At Roblox, the Creator Services team enables unbounded creation through reliable core services and novel AI applications. As a Senior Data Scientist focused on Machine Intelligence , you will bridge the gap between high-tier engineering infrastructure and cutting-edge ML applications. You will be the primary strategic partner to product and engineering leadership, transforming unstructured data into actionable business insights and user-facing products. This is a "zero-to-one" environment. You will be tas

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. 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, rapidly testing 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. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring an AI Research Scientist (New Grad) for our AI Research team. Our team is pushing the frontier of autonomous, self-improving AI systems — building agents that reason, code, and learn at scale inside the Snowflake Data Cloud. This role sits at the intersection of agentic AI and reinforcement learning,

The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits . JOIN TARGET AS A LEAD DATA SCIENTIST – RECOMMENDATIONS (RecSys) About Us: Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here <span style="color:#00

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. What is the AI resident/Data Resident program? A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises. Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections. Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners. At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema. We envision this program as a launchpad for future AI/Data leaders of our company. Who is eligible for this

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who we are Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the AI employee. We are founded by ex-Google, Coinbase, Okta executives and serial entrepreneurs. We’ve raised capital from notable investors such as Accel Partners, Naspers, Section32 and a host of prominent Silicon Valley Angels including Sheryl Sandberg (Facebook/Google), Divesh Makan (Iconiq Capital), Jerry Yang (Yahoo), Dustin Moskovitz (Facebook/Asana), David Baszucki (Roblox CEO) and Gokul Rajaram (Doordash, Square, Google). Our team is a powerhouse of talent, comprising engineers from leading tech companies like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. All our team members hail from top-tier educational institutions such as Stanford, MIT, UC Berkeley, CMU and Indian Institute of Technology. We’re well funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore, India. This will be a hybrid role where we expect employees to work from office three days a week. Who you are We are seeking an

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview The Advertiser Optimization team is the decision-making engine of Instacart's $1B+ ads business. We own the systems responsible for Bidding, Pacing, Budgeting, and Targeting: converting stated advertiser goals into real-time auction actions. Our mission is to maximize realized Advertiser Value by deciding when to participate, how much to bid, and how fast to spend, all while balancing User Experience and Platform Revenue. We are hiring a Senior Applied Scientist II to lead the algorithmic direction of these systems. This is a role for someone who thinks in terms of control theory, constrained optimization, and auction economics, and who can translate those frameworks into production code that makes millions of decisions per day. You will formulate problems from first principles, shape the technical roadmap, and own systems end-to-end from mathematic

The Performance Research Engineer will play a critical role in advancing TaylorMade's leadership in golf equipment performance. This role bridges physical testing, player testing, Tour-level data collection, and advanced analytics to deliver actionable insights that influence product design, product validation, and performance optimization. The ideal candidate is a hands-on engineer with strong mechanical aptitude, advanced data skills, deep golf intuition, and the ability to translate player feedback into clear engineering direction. Essential Functions and Key Responsibilities: Lead the design and execution of advanced performance testing protocols for golf clubs and balls, including lab, player, field, and Tour-based testing environments. Serve as a category-focused Performance Engineering owner for one or more product areas, with potential emphasis across Woods, Irons, Putter/Wedge, or cross-category initiatives. Support PGA/LPGA Tour and elite-athlete testing by collecting clean, repeatable, decision-ready data while operating professionally and respectfully in player-facing environments. Analyze large datasets from lab, player, and field testing to extract insights on ball speed, launch, spin, consistency, delivery, impact location, dispersion, and performance tradeoffs. Translate Tour and player-test observations into clear engineering recommendations, product questions, validation plans, and follow-up experiments. Develop and maintain automated data pipelines, dashboards, and reporting tools for performance tracking, project communication, and cross-functional decision-making. Collaborate with R&D, Product Development, Tour, Fitting, Consumer Insights, and Analytics teams to integrate player feedback and real-world data into product design.

InMobi (Corporate) InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. InMobi Advertising InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com. Glance Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com. What’s the InMobi family like? Featured among the “Great Places to Work” in India, China and other geographies since 2017, our Culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion. What

About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! We’re looking for a Research Scientist to advance how high-quality data and environments for AI agents are created. You’ll build and optimize pipelines that combine real-world data, automated generation, and human expert input. Working with domain experts, academic partners, customers, and our product and engineering teams, you’ll scale these pipelines to target frontier model performance gaps and expand data and environment diversity. Your work will amplify human knowledge and judgement, enabling experts to create and refine data and agentic environments that strengthens Snorkel’s position as the frontier data lab. This role is ideal for someone who wants to advance frontier AI through data and environment creation and enjoys turning research into reusable, scalable systems. Location: San Francisco, New York, OR REMOTE Main Responsibilities Design, implement, and optimize reusable pipelines that combine AI capabilities with expert judgment to accelerate data and agentic environment creation. Design and run rigorous experiments to validate proof-of-concept approaches, measure their impact on data quality, pipeline efficiency, and model performance, and communic

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times Graphics team is looking for a reporter with extensive open-source and investigative reporting skills to turn raw evidence into impactful visual stories. You have a track record for uncovering exclusive information off the news. The Graphics team is a leader in using spatial and visual techniques on investigative stories, and we're looking for someone who is passionate about accountability journalism using cutting-edge reporting techniques. Below are a few examples of the kinds of stories that you will be a part of: An exclusive look at the failed columns of the Midtown Manhattan near-collapse A 3-D analysis of why firefighters' lines of sight were limited in the deadly LaGuardia Crash An investigation into the mass graves in Syria An investigation into the causes of a Miami building collapse A spatial investigation into a deadly fire in the Bronx A forensic analysis of an apartment building collapse in the Turkey earthquake Working with journalists on the Graphics team and across the newsroom, you will play an important role in shaping visual reconstructions and investigations that rely on spatial analysis or use 3-D modeling. You will gather and analyze evidence for stories across a wide range of topics for both quick-turn stories as well as longer-term enterprise. You will be expected to take the initiative in leading major storylines, with the goal of uncovering new or exclusive findings across multiple visual story fo

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Device Identity and Access Organization The Device Identity and Access organization is at the forefront of Okta’s Zero Trust vision. As a foundational pillar within Okta Research and Development (ORD), our mission is to transform the device itself into a secure, trusted, and effortless identity factor. We are the teams responsible for ensuring users can seamlessly interact with their work from any endpoint, anywhere in the world. Our organization is composed of engineers who thrive at the intersection of deep client-side platform engineering and massive-scale distributed systems. The work we do secures millions of enterprise endpoints globally, prevents modern identity attacks, and fundamentally changes how people work by making world-class security completely invisible to the end user. Opportunity We seek a highly impactful and influential Software Engineer to join our Device Authenticators engineering team. The ideal candidate will leverage their deep expertise in Apple (macOS and iOS) client software development to architect, build, and scale the critical software and services at the heart of our security and identity platform. This is a high-visibility, hands-on opportunity to define the architectural vision, pioneer new capabilities, and drive the technical strategy to solve complex, company-wide challenges and shape the future of Okta's device identity ecosystem. You will act as a key technical leader—a player-coach and force multiplier—by sett

Administrar sistemas e ferramentas de suporte à gestão de processos, padronização e tratamento de anomalias, promovendo a gestão do conhecimento e treinamentos, monitorando e controlando os Registros de Tratamento de Anomalias (RTAs) com áreas operacionais e responsáveis pelos processos de SMS, Perdas de Produção, Medição e Conformidade. •Analisar, estruturar e manter as EAPs dos projetos e operações da Gerência Executiva, garantindo bom gerenciamento da interface com áreas de projetos, operação e disciplinas técnicas. •Apoiar atividades de planejamento, controle e gestão da gerência. Desenvolver e atualizar processos, ferramentas de report, elaborar material e realizar apresentações. Realizar a construção do Plano de Negócio e Plano Anual de Negócio, monitorar e controlar a carteira de projetos, operações e gastos administrativos da Gerência Executiva. •Atuar como suporte nos processos de contratação, gestão contratual e de processos internos do consórcio. Apoiar na coleta e processamento de dados para aprendizado constante e geração de valor (foco nos sistemas offshore) utilizando técnicas de Machine Learning. •Apoio na execução de rotinas transacionais e programações no sistema SAP, módulos PM, MM e OS, além de auxiliar e gerir acesso, avaliação e melhorias na coleta, consolidação e armazenamento de dados. •Consolidar a previsibilidade de chamada de caixa enviada por gestores e fiscais de contrato, verificando a coerência com o Plano de Trabalho e Orçamento (PTO) vigente. Pesquisar, estruturar e consolidar informações para documentos, relatórios e pareceres sobre a gestão de rotinas e processos, promovendo a revisão e disponibilização para avaliação e validação final dos profissionais envolvidos em demandas complexas, além de gestores e especialistas do cliente. •Realizar tarefas operacionais de média complexidade, suportando e executando a análise estruturada de dados e informações, consolidando levantamentos e orientando atividades relacionadas ao desenvolvimen

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Vice President, Boise Front End Manufacturing Operations Location: Boise, Idaho Reports To: Senior Vice President, Global Front End Operations Position Summary Reporting to the Senior Vice President of Global Front End Operations, the Vice President, Boise Front End Manufacturing Operations is responsible for the overall leadership, performance, and strategic direction of Micron's Boise front-end manufacturing operations. This leader owns the safe, efficient, and predictable execution of all manufacturing activities while ensuring alignment with company objectives, technology roadmaps, customer requirements, and long-term capacity strategies. The Vice President serves as the senior operational leader for Boise manufacturing and is accountable for operational excellence across safety, quality, yield, cycle time, cost, delivery, workforce capability, and capacity utilization. As a member of the Global Front End Operations Leadership Team, the VP partners closely with Technology Development, Engineering, Business Units, Supply Chain, Procurement, Facilities, Quality, Finance, Human Resources, and peer manufacturing sites to drive world-class manufacturing performance and enterprise-wide outcomes. This leader will play a critical role in shaping the future of advanced semiconductor manufacturing through the deployment of next-generation technologies, automation, digital manufacturing capabilities, AI-enabled operations, and large-scale capacity expansions. Key Responsibilities<

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology and amazing people. Today, we're harnessing the boundless possibilities of AI to build the next era of computing. An era in which our GPU acts as the brain of computers, robots, and self-driving cars that can understand the world. Accomplishing unprecedented goals calls for imagination, inventiveness, and exceptional talent from around the world. As a NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Join our team and discover how you can build a lasting impact on the world. NVIDIA designs the silicon behind AI, accelerated computing, and graphics. Power and thermal architecture decisions sit behind every watt of performance and every degree of thermal headroom! We are the Silicon Co-Design Group (SCG). We are hiring a Principal Architect to scout the research and industry landscape, identify emerging system-level co-design ideas in power and thermal, and drive them across teams into product differentiation across NVIDIA's roadmap. This role shapes system, platform, and datacenter feature/behavior, and partners with teams across Nvidia. SCG scope spans across architecture, design, software, operations, platforms, and productization. What you'll be doing: Architect next-generation system, platform, and datacenter-level power and thermal co-design solutions. Scan internal research, academia, standards bodies, and silicon, memory, packaging, and platform partners for what is emerging. Build the product differentiation case for each candidate idea, performance, power, reliability, schedule, cost, and brainstorm what is worth pursuing. Lead end-to-end co-design from concept to product. Drive alignment across architecture, VLSI, softw