Top AI Ethics Jobs in San Francisco Bay Area, CA

Lead the design and deployment of AI agents, collaborating with teams to ensure AI safety and mentor technical staff.

Lead UX research to define and scale evaluation of Notion's AI experiences. Create reusable rubrics and measurement approaches, run longitudinal and feature-specific studies, identify failure modes and recovery behaviors, and operationalize evaluation with product, design, engineering, and data science partners to improve model output quality and end-to-end user experience.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

Lead Responsible AI technical strategy and build scalable, automated evaluation and RAI systems. Own architecture, metrics, and research foundations; partner cross-functionally; manage and mentor a team of data scientists, researchers, and engineers to operationalize adversarial testing, LLM-based evaluation, and defenses against bias and hallucination.

Own editorial quality for OpenAI safety transparency artifacts (system cards, Deployment Safety Hub, blogs). Translate complex technical safety work into precise, accessible public-facing materials; partner cross-functionally; build AI-assisted workflows, templates, and tools to scale transparent communication.

Conduct technical and sociotechnical research at the intersection of AI and democratic institutions. Design and run AI safety evaluations focused on legal alignment, perform fine-tuning and model improvement, analyze institutional vulnerabilities and develop mitigations, and build AI applications to support civic participation. Collaborate with researchers, policy and law experts, and cross-functional teams to translate findings into product and policy recommendations.

Own the Finance vertical for Agents Data & RL Environments: set product and data strategy, design and scale finance-specific RL simulations and datasets, partner with frontier research teams, and drive cross-functional execution and go-to-market efforts to train and evaluate AI agents on real financial workflows.

Lead firmwide AI enablement by setting strategy and roadmap, designing multi-level training, running an AI champion community, producing adoption analytics, shaping governance, evaluating tools and vendors, and managing stakeholders and a small team to drive responsible AI adoption and measurable business impact.

The Director of CX AI will develop and execute the AI roadmap for customer experience, evaluate tools, modernize workflows, and ensure responsible AI use.

Build and maintain backend tools for AGI safety research: eval libraries, orchestration for parallel agentic evaluations, LLM proxy and telemetry, CI optimizations, data warehousing, and researcher-facing tooling. Lead feature development, collaborate with researchers, and promote good software design and reliability.