Top AI Research Jobs in San Francisco Bay Area, CA

Drive original AI research focusing on new models and algorithms for reasoning in complex environments, collaborating with engineers and contributing to the research community.

As a Research Scientist at Phonic, you'll lead original research in voice AI, drive experimental design, and influence model development directly.

Lead the simulation initiative at Listen, modeling human preferences through AI. Define research programs and create ground-breaking models for understanding human behavior and decision-making in AI systems.

Drive RL research end-to-end for coding agents: form hypotheses, design experiments, build training/eval/data pipelines, train graders for non-verifiable rewards, improve datapoint quality, and develop realtime RL solutions to scale model performance.

Build and train AI agents to discover and exploit software vulnerabilities. Design and maintain evaluation benchmarks, develop training procedures and reinforcement learning environments, and perform model evaluation at scale to produce reliable, scalable security products.

Design and run experiments to evaluate LLM behavior across reasoning, style, robustness, and user preferences. Develop new metrics and evaluation protocols, analyze large-scale human voting/interaction data, prototype research ideas, collaborate with engineers to productionize findings, and publish internal and external research.

Participate in a 14-day remote notification-sorting pilot using a qualifying Google Pixel device. Interact naturally with apps that generate notifications, complete daily sorting tasks and short feedback forms, report issues, and follow confidentiality and project instructions.

The AI Researcher will develop machine learning models and methods to enhance productivity through automation and understanding of enterprise workflows. Responsibilities include research, model development, evaluation, collaboration, prototyping, and community engagement.

As an AI Research Engineer, you'll focus on enhancing AI quality, improving models and orchestration, and solving complex AI problems in healthcare billing.

Pravāh seeks candidates able to propose their own roles to contribute to AI solutions for electric grid management and operations, focusing on high agency, ownership, and strategic thinking.