Top AI Ethics Jobs in San Francisco Bay Area, CA

Lead Sutter Health's AI governance program: set operating model and policies, manage a team of analysts, conduct high-complexity reviews, draft standards, prioritize AI use cases, and coordinate cross-functional stakeholders to integrate governance across model development and monitoring lifecycles.

Lead AI Governance initiatives with strategic customers, translate customer insights and regulations into product vision and roadmap, guide development of AI inventories, risk management, policy and governance workflows, influence product and engineering execution, drive adoption and measurable business outcomes, and act as trusted advisor on responsible AI and compliance.

Lead AI safety research for biological applications: design safety evaluations, assess emerging capabilities, partner with scientists to build robust safeguards, inform policy, and communicate results to internal and external stakeholders.

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.

Open wildcard application to help underwrite, red-team, certify, and insure AI agents. Work across research, engineering, and policy to build agent security standards (AIUC-1). Cross-functional collaboration; equity, benefits, visa sponsorship and relocation to San Francisco offered.

The CTO will lead Fathom's technical strategy, focusing on AI governance, building partnerships, defining standards, and advancing AI safety practices.

Lead enterprise AI strategy, governance, and adoption. Establish AI policies and responsible-AI practices, prioritize business use cases, align AI investments with organizational goals, and drive measurable business value from AI solutions across the company.

The Technical Governance Researcher will conduct research and writing on AI governance, policy, and safety, engaging with collaborators and policymakers to address existential risks from AI.

Define and own AI evaluation strategy for Figma's AI features: set quality dimensions and bars, build evaluation frameworks, golden datasets, and pipelines, combine human and automated/model-based evaluation, produce dashboards and readouts, partner with Product/Design/Engineering/Data Science, and manage a small team to ensure decision-ready signals for shipping AI features.

As a Research Engineer, you will tackle AI safety challenges, develop evaluation methodologies, conduct adversarial testing, and work on model alignment and interpretability. You'll bridge theoretical and practical applications of AI safety research and collaborate with product teams to implement safety solutions.