Staff ML Systems Engineer GMStaff ML Systems EngineerSunnyvale, CaliforniaThe Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization . Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑led labeling at scale.
Senior Data Engineer Toyota Research InstituteSenior Data EngineerLos Altos, CA$180,000–$258,750 / yearThis includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs.
Senior Data Scientist OmnissaSenior Data ScientistMountain View, CaliforniaWork with engineers to design and implement scalable machine learning pipelines, covering all stages from data ingestion and feature extraction to training, testing, validation, inference, and continuous learning in production systems. This is a hands-on role, and you will be expected to develop AI/ML based solutions, work closely with cross-functional teams to solve complex business problems, and contribute to the company’s vision through advanced analytics, machine learning, and artificial intelligence.
NewTechnical Project Manager - AI/ML Programs Cardinal Integrated Technologies IncTechnical Project Manager - AI/ML ProgramsSanta Clara, CAThe candidate will lead end-to-end delivery of AI/ML initiatives, partnering with business stakeholders, data scientists, ML engineers, architects, and global delivery teams to drive innovation and measurable business outcomes. A seasoned TPM who can bridge business strategy, semiconductor domain expertise, and AI/ML technology, while successfully leading global teams and delivering enterprise-scale AI transformation programs for Applied Materials.
ML Research Scientist, Prediction & Smart Agents NuroML Research Scientist, Prediction & Smart AgentsMountain View, CA$193,930–$291,150 / yearExpertise: Subject matter expertise and research experience in one or more of the following: sequential decision-making, prediction, Imitation Learning, Deep Reinforcement Learning, generative modeling, large models (pretraining/finetuning), or machine learning for robotics. 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.
Director, Data Science (San Mateo) Rakuten RewardsDirector, Data Science (San Mateo)San Mateo, CA$156,007.50–$291,500 / yearHeadquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. Job Summary: Rakuten Rewards is seeking a Director of Data Science to lead our centralized data science organization, influence strategy and drive execution of machine learning and generative AI initiatives that deliver measurable, company-wide business impact.
Staff Machine Learning Infrastructure Engineer ATOMSStaff Machine Learning Infrastructure EngineerSan Francisco, California$224,000–$280,000 / yearYou will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform. Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters.
Principal Machine Learning Engineer Unity Technologies SFPrincipal Machine Learning EngineerMountain View, CaliforniaWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. Drive low-level performance work: write and tune WebGPU compute shaders (WGSL) and, where relevant, native kernels (Metal, Vulkan/SPIR-V compute, D3D12, CUDA); profile with browser and platform tools (Chrome/Dawn GPU traces, PIX, Instruments/Metal System Trace, Snapdragon Profiler, Nsight, RenderDoc), and eliminate bottlenecks at the op and memory-bandwidth level.
Machine Learning Infrastructure Engineer Character AIMachine Learning Infrastructure EngineerRedwood City, CAIn just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
AI Engineer Yeah! GlobalAI EngineerSan Francisco, CaliforniaAs an AI Engineer, you will be pivotal in designing, developing, and deploying state-of-the-art AI solutions that enhance the capabilities of our products and services, driving efficiency and innovation. Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
Machine Learning Engineer, Platform Brain Co.Machine Learning Engineer, PlatformSan Francisco, CaliforniaYou understand how machine learning actually works — not just the tooling, but the philosophy underneath: what a loss function really optimizes, how generalization breaks under distribution shift, why evaluation is where systems quietly go wrong. You'll build the machinery that keeps that promise: capturing production corrections, triaging failures to the component that caused them, and turning that signal into retraining and safe redeployment — automatically, across every use case.
Innovations and AI Solutions Engineer Wilson Sonsini Goodrich & Rosati, Professional CorporationInnovations and AI Solutions EngineerPalo Alto, California$116,875–$158,125 / yearSupport innovation projects by facilitating and participating in discussions, meetings with management and department groups, developing business processes, implementing data integrations and recommending best practices on the effective use of data and data analytics tools. Extensive experience and working knowledge with SQL and relational databases, including query authoring, database management, and creating/maintaining large data stores in SQL and cloud platforms such as Azure or AWS.
ML Systems Engineer GMML Systems EngineerSunnyvale, CaliforniaThe Data Labeling Engineering team designs, builds, and operates high‑quality hybrid human/machine labeling tools and pipelines that power autonomous vehicle machine learning models across General Motors . Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑in‑the‑loop labeling at scale.
Senior ML Systems Engineer GMSenior ML Systems EngineerSunnyvale, CaliforniaThe Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models within General Motors' AV organization . Collaborate with ML engineers to design and integrate ML‑driven data annotation (pre‑labeling, autolabeling, active learning loops), helping us move from human‑only to machine‑led labeling at scale.
Machine Learning Engineer GoodfireMachine Learning EngineerSan Francisco, New York$200,000–$400,000 / yearTreating models as black boxes is an unnecessary handicap—we have access to the structures inside them, and understanding those structures lets us steer what models learn, make them safer and more useful, and extract the vast knowledge they contain. Goodfire is a public benefit corporation headquartered in San Francisco with a team of the world’s top interpretability researchers and engineers from organizations like OpenAI and DeepMind.
Innovations and AI Solutions Engineer Wilson Sonsini Goodrich & RosatiInnovations and AI Solutions EngineerPalo Alto, CaliforniaSupport innovation projects by facilitating and participating in discussions, meetings with management and department groups, developing business processes, implementing data integrations and recommending best practices on the effective use of data and data analytics tools. Extensive experience and working knowledge with SQL and relational databases, including query authoring, database management, and creating/maintaining large data stores in SQL and cloud platforms such as Azure or AWS.
NewSoftware Engineer - Data Infrastructure Luma AI, Inc.Software Engineer - Data InfrastructureRedwood City, CAAs a Data Infrastructure Engineer in Research at Luma, you will play a critical role in building and scaling the data infrastructure that supports our cutting-edge multimodal AI systems. Your work will focus on developing high-throughput, large-scale data processing pipelines tailored for machine learning research and internal ML platform needs.
Senior Data Scientist NashSenior Data ScientistSan Francisco, CaliforniaCouriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company's own fleets, partners, or the Nash delivery network.
Applied Machine Learning Engineer, Economist MercorApplied Machine Learning Engineer, EconomistSan Francisco, CaliforniaYou'll study and shape marketplace dynamics — matching efficiency, pricing, incentives, liquidity, and supply/demand balance — and turn those insights into mechanisms and metrics that directly affect fill rate, hiring speed, earnings, and revenue. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.
NewAI Engineer – Cloud Software & AI Platforms - Contract Altera SemiconductorAI Engineer – Cloud Software & AI Platforms - ContractSan Jose, CaliforniaYou will work across machine learning, large language models (LLMs), search technologies, data pipelines, and cloud-native platforms to deliver scalable AI solutions for internal and external users. Design, build, and optimize agentic AI workflows that coordinate LLMs, tools, enterprise data sources, APIs, and multi-step reasoning to automate complex engineering and knowledge-discovery tasks.