Top AI Research Jobs in San Francisco Bay Area, CA

The Head of AI and Data Transformation will lead BlackRock's AI and data strategies, enhancing product capabilities and driving innovative growth across the organization.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Lead end-to-end research and deployment of foundation models, LLMs, and agentic AI systems. Drive model development, rigorous evaluation, production transfer, collaboration with cross-functional teams, and publication of research while ensuring regulatory alignment and scalable engineering practices.

The Applied Researcher I will partner with cross-functional teams to develop AI-powered products, conduct applied research, and build AI foundation models using emerging technologies.

The Principal Strategist will develop AI strategies and GTM initiatives to drive revenue growth, analyze market opportunities, and collaborate with executive teams to enhance customer engagement and retention.

The AI Strategy Consultant will design and execute research experiments, improve data quality, and collaborate with ML scientists to advance AI innovations.

The Senior Applied Research Engineer will focus on improving AI systems through experimentation and research, collaborating with engineering teams to implement findings into production systems.

The Director of Developer Relations leads the strategy for engaging developers around CoreWeave's AI SaaS offerings, creating content, fostering community, and improving the onboarding experience.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.