Founding Research Scientist, Robot Learning Galactic Resource Advancement MechanismFounding Research Scientist, Robot LearningSan Francisco, CaliforniaPhD in machine learning, robotics, computer science, applied mathematics, or a related field, or an equivalent record of original research demonstrated by publications, research systems, or deployed capabilities that can be examined during the hiring process. Trained an embodied model or policy using a versioned dataset and evaluated it on held-out tasks, environments, embodiments, tools, or agent configurations defined before model selection.
ML Research Engineer (Computer Vision) MetamorphicML Research Engineer (Computer Vision)Palo Alto, California$175,000–$250,000 / yearThis is a high-impact, technically deep role at the frontier of ML research and engineering, with a focus on developing, scaling, and productionizing computer vision deep learning models for real-world multimodal data pipelines. Metamorphic is developing new approaches to intelligence by combining machine learning with large-scale experimental neuroscience, informed by the principles that make the brain efficient, flexible, and robust.
Research Scientist, Visual Data and Generative Research Google LLCResearch Scientist, Visual Data and Generative ResearchMountain View, CAhomehomeHomeHomework_outlinework_outlineJobsJobsnoogler_hatnoogler_hatStudentsStudentsgooglegoogleHow we workHow we workhandymanhandymanHow we hireHow we hireperson_outlineperson_outlineYour careerYour careerhelp_outlineHelp linkfeedbackSend feedbackmore_vert HelpSend FeedbackSign inCareersCareershomeHomework_outlineJobsexpand_morenoogler_hatStudentsexpand_moregoogleHow we workexpand_morehandymanHow we hireexpand_moreperson_outlineYour careerexpand_more. From creating experiments and prototyping implementations to designing new architectures our research scientists work on real-world problems that span the breadth of computer science such as machine and deep learning data mining natural language processing hardware and software performance analysis improving compilers for mobile platforms as well as core search and much more.
AI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) Capital OneAI Engineer 5 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)San Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Data Science Chief Expert, SCM SAP SEData Science Chief Expert, SCMPalo Alto, CA10+ years of experience to include deep expertise in machine learning, deep learning, statistical modeling, generative AI, and LLMs, with hands-on experience developing, evaluating, and improving models using real-world datasets - including data preprocessing, feature engineering, and experimentation - and strong analytical and mathematical modeling skills. Hands-on experience with the SAP data and AI platform stack - including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub - with working knowledge of SAP master data domains and Master Data Governance constructs.
Data Science Chief Expert, Supply Chain Management SAP SEData Science Chief Expert, Supply Chain ManagementPalo Alto, CA10+ years of experience to include deep expertise in machine learning, deep learning, statistical modeling, generative AI, and LLMs, with hands-on experience developing, evaluating, and improving models using real-world datasets - including data preprocessing, feature engineering, and experimentation - and strong analytical and mathematical modeling skills. Hands-on experience with the SAP data and AI platform stack - including SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, and SAP Business Accelerator Hub - with working knowledge of SAP master data domains and Master Data Governance constructs.
Staff Software Engineer, Machine Learning Saildrone IncStaff Software Engineer, Machine LearningAlameda, CA$215,000–$270,000 / yearCross-Functional Integration: Serve as a technical leader across multiple engineering organizations -from Perception to Frontend-to ensure ML-driven insights are actionable for mission pilots and critical to disrupting illegal maritime activity. Dataset & Robustness Engineering: Drive the rapid expansion of proprietary maritime datasets and develop rigorous evaluation frameworks to ensure model performance remains stable across variable sea states and extreme weather.
NewSenior Data Scientist / Machine Learning Engineer - Listing Quality FaireSenior Data Scientist / Machine Learning Engineer - Listing QualitySan Francisco, CA$211,000–$290,500 / yearAs a Senior Applied AI/ML Scientist on the Listing Quality team, you will own the modeling and measurement for the content that powers Faire's catalog: the images, titles, descriptions, and structured attributes across millions of products from hundreds of thousands of independent brands. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global.
Staff, Data Scientist WalmartStaff, Data ScientistSunnyvale, California$143,000–$286,000 / yearSunnyvale, California US-11349: The annual salary range for this position is $143,000.00 - $286,000.00 Bentonville, Arkansas US-10735: The annual salary range for this position is $110,000.00 - $220,000.00Additional compensation includes annual or quarterly performance bonuses. Living the Walmart Value: Focus on our Associates / Belonging - Identifies, attracts, and retains top talent; builds a high-performing team; embraces a culture of belonging Benefits and Perks: Beyond competitive pay, you can receive incentive awards for your performance.
Senior Applied Scientist Oracle CorpSenior Applied ScientistSanta Clara, CA$114,600–$234,600 / yearYou will translate ambiguous product and customer questions into measurable hypotheses, select or create appropriate benchmarks, design experiments, build evaluation pipelines, validate data and metrics, analyze failure modes, and communicate conclusions to science, engineering, product, and leadership stakeholders. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle''s differing products, industries and lines of business.
Lead Reserach Scientist, AI Safety and Reinforcement Learning Advanced Micro Devices IncLead Reserach Scientist, AI Safety and Reinforcement LearningSanta Clara, CATHE ROLE: We are hiring an Lead Research Scientist, AI Safety and Reinforcement Learning focused on recursive self-improvement (RSI) in a bounded, engineering-first sense: systems where models, data generators, or toolchains participate in improving their own training signals, curricula, or verification-always under explicit governance, kill switches, and human oversight. synthetic data quality, targeted self-play, automated curriculum refinement) versus when they amplify bias or reward hacking, and you will design measurement and containment so RSI-style pipelines remain auditable and safe for AMD's AI-for-HW and generative-AI programs.
AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning Advanced Micro Devices, IncAI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement LearningSanta Clara, CaliforniaWe are hiring an AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning focused on recursive self-improvement (RSI) in a bounded, engineering-first sense: systems where models, data generators, or toolchains participate in improving their own training signals, curricula, or verification—always under explicit governance, kill switches, and human oversight. synthetic data quality, targeted self-play, automated curriculum refinement) versus when they amplify bias or reward hacking, and you will design measurement and containment so RSI-style pipelines remain auditable and safe for AMD’s AI-for-HW and generative-AI programs.
Research Intern - Deep Learning pony.aiResearch Intern - Deep LearningFremont, CAFrame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, etc) to these problems; scale them to data pipelines; and streamline them to run in real-time on the cars. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
AI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning) Capital OneAI Engineer 4 (AI Foundations: LLM Customization, Finetuning, Reinforcement Learning)San Francisco, New YorkBachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies. Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
Software Engineer, On-Device Machine Learning Google LLCSoftware Engineer, On-Device Machine LearningSunnyvale, CAWere looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. Our team focuses on building cross-platform infrastructure aligned with Googles business needs, serving Google products (Android, Chrome, Photos, Meet, YouTube, etc.), third-party developers, and specialized Pixel solutions.
Senior Deep Learning Systems Architect NVIDIA CorpSenior Deep Learning Systems ArchitectSanta Clara, CANVIDIA is seeking architects like you to help design hardware accelerator and processor architectures that enable state of the art machine learning and data analytics algorithms and applications on our next-generation mobile, embedded and datacenter platforms. Come, join our Deep Learning Architecture team and help build the real-time, cost-effective computing platform driving our success in this exciting and quickly growing field.
Director, Perception - Autonomous Vehicles NvidiaDirector, Perception - Autonomous VehiclesSanta Clara, CAEnd-to-End Ownership: Oversee the entire machine learning lifecycle-from active learning, data mining, and synthetic data generation to model training, model performance acceleration, and deployment on NVIDIA DRIVE platforms (Orin/Thor). Cross-Functional Teamwork: Partner closely with leaders across Planning and Control, Mapping, Hardware, and Safety teams to ensure seamless integration of the perception stack and alignment on AV system-level metrics.
Helix AI Engineer, Reinforcement Learning Figure AI IncHelix AI Engineer, Reinforcement LearningSan Jose, CAThis role focuses on applying and advancing reinforcement learning across simulation and real-world environments-improving policy performance, robustness, and long-horizon decision-making in embodied systems. We are looking for a Helix AI Engineer, Reinforcement Learning to develop learning systems that enable robots to acquire skills through interaction, feedback, and experience.
Sr Applied Scientist, Ring AI Ring, Inc (Inactive)Sr Applied Scientist, Ring AISunnyvale, CAYou will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms. As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.
Manager, Learning & Development ZooxManager, Learning & DevelopmentFoster City, CATranslate identified capability needs into well-designed, right-sized learning solutions, working closely with People Partners, managers, and senior leaders to ensure programs are grounded in real organizational needs. You bring strong L&D expertise and genuine business acumen, navigate environments where priorities evolve, and leadership input shapes direction, and deliver real impact without waiting for perfect conditions.