Top AI Research Jobs in Los Angeles, CA

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.

The Advisory Agentic Technologist will be the Subject Matter Expert in identity management, driving technical success and strategy, collaborating on agentic AI innovations, and influencing product development, with a focus on the US, Canada, and Latin America.

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.

Evaluate and validate AI Coach chat outputs for accuracy and risk, act as subject-matter expert in personal financial planning, identify enhancements, escalate issues to Ops/Product/Compliance, and contribute reusable solution libraries to improve member experience.

Review AI-generated compensation analyses and recommendations for accuracy, completeness, and business relevance. Identify errors and gaps, provide actionable written feedback, follow scoring frameworks, document findings, and collaborate to refine evaluation methods.

As Director of User Insights, you'll lead a research team, utilizing qualitative and quantitative methods to inform product decisions and improve user experiences. You will ensure research connects to actionable outcomes and supports product development initiatives.

Lead and conduct mechanistic interpretability and alignment research for security-specialized AI. Develop methods to read model internals, detect misuse signals, design training interventions and evaluation frameworks, publish original research, and recruit and mentor a lean research team.

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.

Remote, US-based participants will use a qualifying Google Pixel device for 14 consecutive days to interact naturally with notification-generating apps, complete daily notification-sorting tasks and short feedback forms, and provide quality documentation and prompt communication about issues.

The role involves leading evaluations of utility energy programs, developing methodologies, driving business development, mentoring teams, and engaging clients effectively.