Top AI Research Jobs in San Francisco Bay Area, CA

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.

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.

Design and optimize pre-training pipelines for VLM models, conduct research on pre-training techniques, and evaluate performance for autonomous driving.

Lead the development and integration of advanced safety systems for scientific AI applications, building a team and establishing a research strategy.

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.

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

As an AI Researcher, you will develop novel AI algorithms, translate research into product applications, mentor teams, and contribute to scientific publications.

The Research Engineer will design and implement innovative approaches to marketing measurement, build production systems, and develop algorithms to solve complex marketing attribution problems.

Design and run research programs focused on agent systems, signal classification, cost-efficient inference, and behavioral benchmarking in applied AI. Build evaluation frameworks, conduct experiments, and convert findings into production systems to define applied AI research agendas.

Lead and manage a team researching embedding models and retrieval systems for AI, focusing on relevance, adaptive reasoning, and innovative representation techniques.

As a Research Scientist, develop machine learning techniques, advance research agendas, and collaborate with peers to achieve impactful results.

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.