Top AI & Machine Learning Jobs in San Francisco, CA

Own the AI research roadmap from problem identification through production deployment. Develop LLM and deep learning methods for legal text reasoning, extraction, drafting, redlining, hallucination mitigation, explainability, and efficient inference. Build evaluation datasets and benchmarks, assess emerging techniques, collaborate with Engineering and Product, and communicate findings to technical and non-technical audiences.

Conduct applied AI research for legal technology, focusing on LLMs, deep learning, long-context reasoning, contract analysis, information extraction, hallucination mitigation, explainability, and model evaluation. Own research roadmaps, design experiments, build benchmarks, develop prototypes, and ship successful approaches into production with Engineering and Product. Communicate findings to technical and non-technical stakeholders.

Develop and deploy full-stack generative AI products, including high-performance user interfaces, scalable backend systems, LLM orchestration pipelines, data extraction, and document-clustering capabilities. Process and analyze millions of contracts reliably while collaborating with designers, lawyers, and engineers to improve legal workflows. The role emphasizes pragmatic problem-solving, resourcefulness, urgency, and product impact in a fast-growing startup environment.

Develop and deploy generative AI products across the full stack. Build high-performance user interfaces and backend systems for analyzing millions of contracts, while designing scalable pipelines for LLM orchestration, data extraction, and document clustering. Collaborate with designers, lawyers, and engineers to transform legal workflows through AI products.