Senior Staff Research Engineer – Reinforcement Learning for AI Agents XPeng MotorsSenior Staff Research Engineer – Reinforcement Learning for AI AgentsSanta Clara, CA$244,140–$413,160 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. We are looking for exceptional Research Engineers / Scientists to design learning systems that allow agents to plan over long horizons, learn effective strategies, and improve through experience.
Research Engineer, Economic Research Data Platform AnthropicResearch Engineer, Economic Research Data PlatformSan Francisco, CAIn this role, you will work closely with teams across Anthropic - including Data Science and Analytics, Data Infrastructure, Societal Impacts, and Public Policy - to build scalable and robust data systems that support high-leverage, high-impact research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models XPeng MotorsSenior Staff Machine Learning Engineer – Autonomous Driving Foundation ModelsSanta Clara, CA$244,140–$413,160 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
Staff+ Software Engineer, Safeguards AnthropicStaff+ Software Engineer, SafeguardsSan Francisco, CAOur Claude Investigation tool, an autonomous Claude-powered agent that reasons across tens of billions of stored interactions to surface cyberattacks, weapons development, and state-sponsored influence operations; thousands of copies run in parallel, which is how a small team covers the whole surface. Our flagship project extends Claude Tag, Anthropic's agentic AI collaborator, so it can safely operate on the sensitive data at the heart of Safeguards work: investigating abuse, calibrating detection systems, and closing the loop from signal to enforcement.
Staff Software Engineer, Billing Platform AnthropicStaff Software Engineer, Billing PlatformSan Francisco, CAGrowth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday - you'll help thread that needle. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff+ Software Engineer, Claude Science AnthropicStaff+ Software Engineer, Claude ScienceSan Francisco, CAClaude Science is an AI workbench that gives researchers a single environment for work that today spans dozens of disconnected tools - literature, specialized databases, scientific computing, analysis, and publication-ready outputs. Claude Science already renders protein structures, genome tracks, and chemical structures natively, and coordinates multi-agent workflows with built-in review for citation and calculation errors - and we're just getting started.
Staff + Sr. Software Engineer, Cloud Inference AnthropicStaff + Sr. Software Engineer, Cloud InferenceSan Francisco, CAWork cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff+ Software Engineer, Safeguards Evals AnthropicStaff+ Software Engineer, Safeguards EvalsSan Francisco, CASitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff + Sr. Software Engineer, Cloud Inference Launch Engineering AnthropicStaff + Sr. Software Engineer, Cloud Inference Launch EngineeringSan Francisco, CAIdentify and dive deep on the gaps that make inference behave differently across first-party and CSPs - config drift, observability, deployment patterns, hard cross-platform bugs - and fix them at the source rather than building platform-specific workarounds. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Senior/Staff Machine Learning Engineer, Sensor Simulation NuroSenior/Staff Machine Learning Engineer, Sensor SimulationMountain View, CA$193,930–$291,150 / yearWith 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. 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.
Staff+ Software Engineer, Safeguards ML Infrastructure AnthropicStaff+ Software Engineer, Safeguards ML InfrastructureSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
Performance Engineer, GPU AnthropicPerformance Engineer, GPUSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Strong candidates will have a track record of delivering transformative GPU performance improvements in production ML systems and will be excited to shape the future of AI infrastructure alongside world-class researchers and engineers.
Principal Physical Design/Implementation Engineer MarvellPrincipal Physical Design/Implementation EngineerSanta Clara, CABachelor's degree in Computer Science, Electrical Engineering or related fields and 10-15 years of related professional experience or Master's degree and/or PhD in Computer Science, Electrical Engineering or related fields with 5-10 years of experience or equivalent professional experience in lieu of a formal degree. Custom Compute and Storage (CCS) Business Unit closely collaborates with strategic customers in the development of advanced and highly complex SoCs, from architecture and design all the way through layout, packaging, prototype validation and production ramp up.
Senior Staff LLM Inference Engineer D-MatrixSenior Staff LLM Inference EngineerSanta Clara, CAWe build the tools, runtimes, and frameworks that let frontier AI models run efficiently and cost-effectively across heterogeneous deployments - combining D-Matrix silicon with CPUs, GPUs, and custom accelerators. Our charter spans the full stack: from pathfinding emerging use cases and novel deployment patterns to deep optimization of inference kernels, to building proof-of-concept systems that showcase D-Matrix's unique computational fabric.
Senior Machine Learning Data Curation Engineer XPeng MotorsSenior Machine Learning Data Curation EngineerSanta Clara, CA$174,720–$295,680 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Dataset Lifecycle Management: Oversee the collection, organizing, cleaning, and maintenance of large-scale, high-quality datasets for model training.
Research Engineer, Discovery AnthropicResearch Engineer, DiscoverySan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Research Engineer, Cybersecurity RL (Reinforcement Learning) AnthropicResearch Engineer, Cybersecurity RL (Reinforcement Learning)San Francisco, CAFor example, you might be a white hat hacker who's curious about how LLMs could augment or transform your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could enhance defensive workflows. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic.
Software Engineer, RL Data AnthropicSoftware Engineer, RL DataSan Francisco, CAAnthropic's RL Data team builds the systems that produce high-quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. A track record of owning major projects end-to-end in fast-paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open-source project.
Data Engineer, Safeguards AnthropicData Engineer, SafeguardsSan Francisco, CAYou'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Staff+ Software Security Engineer AnthropicStaff+ Software Security EngineerSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.