Staff Senior Machine Learning Scientist Jobs

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Job Overview As a Staff/Senior Process Development Engineer within PDE-CEM, you will leverage advanced semiconductor process characterization, failure analysis, yield analytics, and process integration expertise to accelerate product and technology development. The role focuses on developing robust assembly processes, improving yield and reliability, supporting New Product Introduction (NPI), and utilizing data-driven methodologies to optimize manufacturing performance. The ideal candidate combines strong semiconductor physics knowledge, advanced characterization skills, yield improvement experience, and cross-functional leadership capability to drive continuous process innovation and manufacturing excellence. Key Responsibilities Process Development & Characterization Develop and optimize Process of Record (POR) for assembly and packaging technologies. Establish process windows, process capability targets, and characterization strategies. Apply statistical methodologies including DOE, SPC, JMP, and Six Sigma to characterize and optimize manufacturing processes. Drive early process learning through advanced characterization and failure analysis techniques. Yield Improvement & Problem Solving</

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. Build the future of data. Join the Snowflake team. The Snowflake Machine Learning Platform team’s mission is to enable customers to bring their machine learning and deep learning workloads to Snowflake. Our customers want to build powerful models with the ever-increasing data in Snowflake but face several challenges including infrastructure optimizations, orchestration, performance, and security. The team aims to solve these challenges by building highly integrated platform solutions that are simple, secure, and enable end-to-end ML workflows. We are on an early journey to build the most scalable machine learning and data platform without sacrificing the benefits of a single platform and governance. We are looking for outstanding technical leaders who will join our ML Platform team to build the next-generation platform and play a pivotal role in this journey by understanding Snowflake’s core platform architecture and evolving it to enable state-of-the-art machine learning and LLM workloads. Join us to define strategies, set technical directions, design and execute, engage and deliver innovation, and unlock the power of AI for thousands of enterprise customers. This position is based in Menlo Park, CA, and Bellevue, WA. RESPONSIBILITIES : Help define and own the roadmap, wor

The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another. You will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience compressing, accelerating, and deploying complex models, including LLMs, VLMs, or foundation models, for power- and thermal-constrained vehicle SoCs. In addition, you will optimize ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices. In this role, you will: Allocate and distribute system resources (CPU/GPU/interconnect) to various models and inference engines running on the robot. Spearhead cross-cutting initiatives that allow for better compute utilization through sharing/fusing models and better scheduling strategies. Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and compilation pipelines using TensorRT for edge deployment. Write production-level, low-latency, and memory-safe C++ and CUDA code for real-time inference on vehicle systems. Qualifications: Deep experience in system and performance optimization in CPU/GPU systems designed for low latency or high throughput. Deep expertise in working with real-time systems & required

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in Pyt

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines. About the Role Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation. About the Work Research, develop, and implement state-of-the-art online mapping models and algorithms. Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system. Work cross functionally with other ML teams to integrate our models

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Team Our robotics team is growing and we are looking for an ML Software Engineer to join our Online Mapping team. We are searching for an engineer with robotics and machine learning expertise to work on challenging problems in the design and implementation of onboard mapping models and algorithms, data and label management, as well as training pipelines. About the Role Building robust ML and/or mapping systems that work with real data (cameras, LiDAR, etc.) in uncertain environments, and a strong desire to contribute to the future of robot navigation for logistics and transportation. About the Work Research, develop, and implement state-of-the-art online mapping models and algorithms. Analyze and characterize the performance of the online mapping system, identifying opportunities for architecture, data or evaluation improvements in a E2E ML system. Work cross functionally with other ML teams to integrate our models

As Senior Project Manager you will be responsible for overseeing the full project life-cycle of design and construction for Zoox’s various real estate assets. Our capital projects include a wide variety of typologies- from office and amenities to engineering/R&D, manufacturing, testing/proving grounds, fleet operations, fleet charging and fleet service sites. Project sizes, complexity and budgets will vary from $50K to $30M+. You will own project delivery beginning with pre-lease site due diligence and project planning all the way through project occupancy and close out. The c candidate will need to know all aspects of project delivery- including fiscal and schedule, design, construction and delivery. In this role, you will: Responsible for leading multiple capital construction projects of various complexity from initiation through close-out, owning the entire project lifecycle from pre-design through commissioning. Provide critical financial and schedule management, including creating and monitoring control systems for cost estimates, budgets, value engineering, schedules, and change orders, and reviewing/approving all architect, engineer, contractor, and vendor invoices. Partner with internal cross-functional teams to develop project programs, masterplan campus/city level projects, and collaborate with real estate teams on due diligence and lease negotiations. Manage procurement by sourcing appropriate team members (External PMs, Architects, MEP Engineers, and other trades) through the RFP process and contract execution, and by developing/recommending the project delivery method (Design-Build, Design-Bid-Build or other). Accountable for deliverables while tracking progress, driving all required entitlements, permits, and contracts, completing bid review and analysis for formal funding recommendations, and managing weekly and quarterly executive reports. Qualifications Bachelor’s or graduat

As Senior Project Manager you will be responsible for overseeing the full project life-cycle of design and construction for Zoox’s various real estate assets. Our capital projects include a wide variety of typologies- from office and amenities to engineering/R&D, manufacturing, testing/proving grounds, fleet operations, fleet charging and fleet service sites. Project sizes, complexity and budgets will vary from $50K to $30M+. You will own project delivery beginning with pre-lease site due diligence and project planning all the way through project occupancy and close out. The c candidate will need to know all aspects of project delivery- including fiscal and schedule, design, construction and delivery. In this role, you will: Responsible for leading multiple capital construction projects of various complexity from initiation through close-out, owning the entire project lifecycle from pre-design through commissioning. Provide critical financial and schedule management, including creating and monitoring control systems for cost estimates, budgets, value engineering, schedules, and change orders, and reviewing/approving all architect, engineer, contractor, and vendor invoices. Partner with internal cross-functional teams to develop project programs, masterplan campus/city level projects, and collaborate with real estate teams on due diligence and lease negotiations. Manage procurement by sourcing appropriate team members (External PMs, Architects, MEP Engineers, and other trades) through the RFP process and contract execution, and by developing/recommending the project delivery method (Design-Build, Design-Bid-Build or other). Accountable for deliverables while tracking progress, driving all required entitlements, permits, and contracts, completing bid review and analysis for formal funding recommendations, and managing weekly and quarterly executive reports. Qualifications Bachelor’s or graduat

Who We Are Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides. Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles. With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected. Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors. About the Role Controller is the critical link between Nuro Driver's upstream autonomy stack and physical vehicle platform — translating planned trajectories into safe, precise, real-world motions. As a Senior/Staff Controls Engineer, you'll design and deploy production controls software that powers L4 autonomous driving across an expanding operational design domain, from parking lots to highways, in all weather and road conditions. You'll work alongside world-class engineers across autonomy, hardware, and systems to solve problems that don't have textbook answers and see your work running on real vehicles globally. About the Work Develop robust, reliable and optimized production-level control software following safety standards (ISO 26262). Develop seamless interactions between planner and controller and advanced control strategies for expanded ODD including parking lot maneuvers through highway driving under various weather condi

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and create new business models. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing some of the most important work of your career. You can read more about the business we’re building and what we’re looking forward to in our annual letter. About the team The Risk team builds trust, an essential ingredient for Stripe’s mission to increase the GDP of the internet. We make it possible for millions of businesses to access and use Stripe’s financial infrastructure while protecting our users, financial partners, and the broader ecosystem from harm. Risk sits at the center of our users’ and Stripe’s ability to grow safely. We help legitimate businesses access Stripe’s financial services, provide credit to creditworthy businesses, and increasingly help users manage their own risk. We also prevent fraud and financial crime, manage Stripe’s credit exposure, meet our obligations to regulators and financial partners, and enable Stripe’s product teams to launch and grow products safely. To do this, we set the policies and standards that guide how Stripe manages risk and develop the advanced AI, infrastructure, and product experiences that put them into practice for Stripe and our users. At Stripe’s scale—$1.9T in annual payment volume, equivalent to 1.6% of global GDP, across millions of businesses—we face risk problems no other company has encountered. The opportunities and complexities are only growing as AI reshapes what is possible, Stripe expands its product suite, regulators raise their expectations, and we support more businesses in more countries. What you’ll do As a Senior Staff Product Manag

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and create new business models. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing some of the most important work of your career. You can read more about the business we’re building and what we’re looking forward to in our annual letter. About the team The Risk team builds trust, an essential ingredient for Stripe’s mission to increase the GDP of the internet. We make it possible for millions of businesses to access and use Stripe’s financial infrastructure while protecting our users, financial partners, and the broader ecosystem from harm. Risk sits at the center of our users’ and Stripe’s ability to grow safely. We help legitimate businesses access Stripe’s financial services, provide credit to creditworthy businesses, and increasingly help users manage their own risk. We also prevent fraud and financial crime, manage Stripe’s credit exposure, meet our obligations to regulators and financial partners, and enable Stripe’s product teams to launch and grow products safely. To do this, we set the policies and standards that guide how Stripe manages risk and develop the advanced AI, infrastructure, and product experiences that put them into practice for Stripe and our users. At Stripe’s scale—$1.9T in annual payment volume, equivalent to 1.6% of global GDP, across millions of businesses—we face risk problems no other company has encountered. The opportunities and complexities are only growing as AI reshapes what is possible, Stripe expands its product suite, regulators raise their expectations, and we support more businesses in more countries. What you’ll do As a Senior Staff Product Manag

The AI organization at Asana builds the platform and products that bring AI into how the world's teams work. That includes AI Teammates that take on work alongside people, the orchestration layer that lets agents plan and act across the Work Graph, and the AI platform that every AI feature at Asana runs on. The platform covers model access, retrieval, context, evaluation, and production quality. We are looking for a Senior Staff Software Engineer to set technical direction across this organization. You will lead the hardest cross-team problems in AI at Asana, make architectural calls that hold up as models and the industry shift underneath us, and help senior leadership shape where AI takes the product next. The scope spans multiple engineering teams across San Francisco, New York, Vancouver, and Warsaw. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Define the technical vision and architecture for Asana's AI Org that includes AI platform, Agent systems and Studio in partnership with engineering and product leadership Partner with Product, Design, Data Science, Security, and Legal to take ambitious AI products from prototype to reliable, trusted enterprise features Lead strategic initiatives that span multiple teams, such as agent runtime and orchestration, context and memory for agents grounded in the Work Graph, and reliable, cost-efficient LLM inference at enterprise scale Set the bar for how Asana measures AI quality, including offline and online evaluation, production monitoring, and the feedback loops that turn real usage into better agents Make and guide high-stakes technical d

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. Responsibilities: Own the development, qualification, and deployment of advanced metrology applications for 3D NAND process development, with primary emphasis on Focused Ion Beam (FIB) and one or more of the following: Atomic Force Microscopy (AFM) Optical interferometry or White Light Interferometry (WLI) Scanning Electron Microscopy (SEM) Semiconductor electrical or non-contact characterization methods Develop and implement innovative metrology solutions utilizing FIB, AFM, SEM, and related characterization techniques to close inline detection gaps and accelerate process learning. Lead the evaluation, qualification, and deployment of next-generation metrology systems and First-of-a-Kind (FOAK) technologies, including assessment of measurement capability, accuracy, repeatability, throughput, automation, and manufacturing readiness across FIB, AFM, SEM, and other advanced metrology platforms. Establish and drive technology roadmaps, ensuring alignment with future NAND technology requirements while fostering strong technical partnerships with equipment suppliers and industry collaborators. Identify and develop modeling opportunities using metrology, defect detection, artificial intelligence (AI), and machine learn

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. As an Senior / Staff RDA Process Engineer, you will play an important role in monitoring inline defectivity, identifying process anomalies, and driving defect reduction initiatives. You will learn to leverage advanced inspection and metrology tools, analyze large data sets, and collaborate with cross-functional teams to improve manufacturing outcomes. This role offers the opportunity to influence high-volume manufacturing processes, transfer new technologies into production, and contribute to yield and quality improvements across global operations. Responsibilities: Analyze process flows, defect data, and inline signals to identify anomalies, drive corrective actions, and improve defect performance Support experimentation, baseline health monitoring, and defect reduction initiatives Utilize inspection and metrology tools to detect process issues early and identify sources of variation Partner with global manufacturing, process integration, process development, and yield teams to develop and deploy best-known methods Drive continuous improvement through data analysis, root cause investigations, and process optimization Minimum Qualifications: Masters’s degree in Electrical Engineering, Chemical Engineering, Materials Science and Engineering, or a related technical field Strong analytical, problem-solving, and communication skills Ability to investigate process anomalies, perform root cause analysis, 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 are looking for talented systems developers and researchers to join the Snowflake AI Research team and advance the state of the art in LLM inference systems and optimization . Our mission is to build the next generation of high-performance and intelligent inference systems. We optimize not only how fast and efficiently models run, but also how quickly inference systems can adapt to new models, architectures, hardware, and workloads. Our work spans the full inference stack—from distributed serving and runtime systems to GPU kernels and model-system co-design. We explore techniques such as adaptive parallelism, speculative and parallel decoding, disaggregated inference, scheduling and batching, KV-cache optimization, model swapping, quantization, and GPU kernel optimization to push the frontier of latency, throughput, scalability, and cost. Beyond optimizing individual models, we are building intelligent and adaptive inference systems that can automate performance optimization—rapidly profiling new models and workloads, identifying bottlenecks, selecting effective execution strategies, and adapting system configurations with minimal manual tuning. We embrace AI-native engineering , using AI not only as the workload we optimize, but also as a tool to accelerate system devel