Top AI Ethics Jobs in San Francisco Bay Area, CA

As part of the Safeguards Data Science team, you will analyze user behavior, define success metrics, and foster a data-driven culture to improve AI safety.

Write and maintain training materials (guides, SOPs, tutorials, troubleshooting, certification content) for robotics and collections systems. Translate complex technical information into clear documentation for operators and engineers, support localization/i18n, identify knowledge gaps, partner cross-functionally, and maintain content quality, versioning, and onboarding/training improvements across regions.

Lead vision, strategy, and roadmap for an AI Evaluation & Learning platform. Build reusable capabilities for evaluation, feedback, auditability, observability, and continuous learning. Define evaluation standards and success metrics, partner with engineering and data science, drive adoption across product teams, and mentor product managers to improve AI quality, reliability, and trust at scale.

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.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.

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.

Lead AIUC-1 standard updates by researching incidents, drafting quarterly updates, producing rapid public incident commentary, translating regulations into testable controls, developing technical content, tracking threat/regulatory landscapes, and building partnerships to drive adoption.

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.

Co-founder and CPTO to design and ship an explainable, audit-ready AI compliance platform. Own architecture, security (SOC 2, tenant isolation, encryption, audit logging), product roadmap, LLM training and explainability, reliability engineering, customer engagement, fundraising targets, and hiring the founding engineering and applied AI team to reach production and $1M ARR.