Top AI Research Jobs in San Francisco Bay Area, CA

Conduct foundational and applied ML research on AI well-being and moral status, design and run experiments (including tooling/engineering), collaborate with external researchers, and publish papers and public-facing writeups. Evaluate frontier models and present findings to policymakers and industry stakeholders.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

Evaluate and validate AI Coach chat outputs for accuracy and risk, act as subject-matter expert in personal financial planning, identify enhancements, escalate issues to Ops/Product/Compliance, and contribute reusable solution libraries to improve member experience.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

As Director of User Insights, you'll lead a research team, utilizing qualitative and quantitative methods to inform product decisions and improve user experiences. You will ensure research connects to actionable outcomes and supports product development initiatives.

Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.

The Research Engineer will focus on multimodal sensing systems and sensor fusion for embodied AI and robotics, evaluating sensor modalities and collaborating with hardware and ML teams to enhance robotic learning and performance.

Conduct empirical economic research on AI’s real-world impacts using large-scale datasets. Design and execute causal inference or structural modeling studies, collaborate cross-functionally, produce policy-relevant outputs (papers, reports, briefings), and develop new measurement approaches for AI-driven economic change.

Conduct research to design, train, and scale models that can serve a web index; explore convergence of search, recommendation, and transformer models; produce applied research that can be deployed in product and systems used by millions; collaborate in-person across Palo Alto and San Francisco offices.

PrimeIntellect seeks exceptional builders and researchers in AI and decentralized systems, emphasizing open-source AGI development with high-stakes problem solving.