Top AI Jobs in San Francisco Bay Area, CA

As a Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

Embed with customer AI teams to design, prototype, and productionize AI agents using W&B Weave. Advise on architecture, build reference implementations and demos, run technical workshops, gather field feedback for product roadmap, and troubleshoot customer environments.

Design and build AI Gateway systems for high-volume, latency-sensitive inference at the edge. Implement APIs, routing, observability, controls, developer workflows and tooling. Prototype ambiguous ideas to production, improve reliability, performance, cost-efficiency and debuggability, and mentor engineers while dogfooding AI-native tools, agents, and automation to accelerate development and operations.

Lead and manage the Frontier AI Systems workstream, focusing on understanding and deploying frontier AI capabilities in real-world systems while engaging stakeholders and ensuring governance.

As a Senior ML/AI Engineer, you'll build an AI operational backbone for a new consumer membership app, shipping AI-native features for millions of users.

You will lead AI deployments within top pharmaceutical and biotech firms, act as a strategic advisor, and translate customer needs into product requirements.

The Software Engineer - AI will design and develop end-to-end generative AI applications, building pipelines and automation for real-world deployment, while contributing to AI/ML development strategies.

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

The AI Lab Research Engineer will develop scientific AI models for complex problems, design and deploy AI agents, and collaborate across disciplines in a lab environment.

Lead and mentor a team of Solution Architects, ensuring technical solutions align with customer needs, while managing deployments and proofs of concept for AI applications.

As a Research Engineer, you will develop evaluation frameworks for AI models and agents, ensuring reliable metrics for model performance and product readiness.

The Data Scientist will build AI-driven fraud and risk systems, work with real-world data, and leverage graph techniques to improve detection and labeling. They will partner with engineering to scale data systems in the compliance domain.

As a Software Engineer, you'll develop AI scheduling agents to coordinate meetings across various complexities, improve architectures, and analyze agent performance.

Lead and build an in-house data annotation team, define processes and tooling, coordinate with ML and engineering, create documentation, manage annotators, and perform annotations when needed.

The role involves shaping technology development governance, managing stakeholder ecosystems, executing transactions, and maintaining relationships across the tech landscape.

The AI Operations Lead will identify inefficiencies, design AI-driven solutions, drive adoption, partner with leadership, and establish metrics for success.

The Director of Global Alliances AI manages partnerships, ensuring strategic alignment and providing insights to optimize collaboration. Responsibilities include overseeing governance forums, engaging senior leadership, and supporting business development efforts for AI-enabled initiatives.

Lead product strategy for Suno's research org by defining evaluation frameworks, connecting creator needs to model capabilities, prioritizing research, running experiments, and bringing model improvements to market in partnership with researchers and cross-functional teams.

Join our AI lab focusing on developing software agents like Devin and Windsurf, fostering collaboration in AI for engineering tasks.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

The AI Automation Engineer will automate internal processes, mentor non-technical staff on building tools, and ensure solutions deliver measurable business impact using AI technologies.

The Deployment Strategist manages enterprise customer deployments, ensuring successful integration of AI workflows, and serves as the main client contact throughout the process.

Lead a team of data scientists to develop AI-driven features, manage project execution, and collaborate with cross-functional teams for innovation.