Top AI Research Jobs in Los Angeles, CA

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

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.

Lead MongoDB's strategy to increase LLM and answer-engine visibility by optimizing content, structured data, and community signals. Build and scale an AEO/SEO team, implement technical information architecture (JSON-LD, knowledge graphs, RAG-friendly docs), coordinate UGC/community advocacy, evangelize AI-first content practices, and develop analytics/attribution (Share of Model, citation impact) to drive PLG acquisition.

Lead pricing modeling and experimentation to optimize margin, conversion, and retention. Build elasticity and willingness-to-pay models, run causal and bandit experiments, decompose merchant economics, and develop agentic deal tooling. Own end-to-end data pipelines, ETL, monitoring, and visualization. Evaluate AI systems for accuracy, bias, and drift, and partner with cross-functional teams to translate results into pricing strategy and automation.

Manage and coach a team of mentors to ensure delivery outcomes for ~200 AI fellows at scale. Build delivery systems, run operational cadence, lead live instruction when needed, translate field signals into curriculum changes, and partner with strategic partners to close the feedback loop between mentors, fellows, and the curriculum 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.

Lead a team of data scientists focused on AI/ML product development, manage projects, innovate algorithms, and promote collaboration across teams.

The Director will lead and manage the firm's AI and data science initiatives, oversee a multidisciplinary team, and develop AI solutions that enhance operational efficiency and decision-making in legal contexts.

Conduct research and develop biometric and AI algorithms; design and execute large-scale experiments to evaluate accuracy, robustness, fairness, and security; build production-oriented software components and research tools; collaborate with cross-functional teams to transition research into scalable biometric systems; produce technical publications, patents, and support customer engagements and demonstrations.

The Research Engineer will develop and deploy multimodal AI models, conduct applied research, and contribute to scalable infrastructure for understanding human likeness across modalities.