Top AI Research Jobs in San Francisco Bay Area, CA

Supports AI safety, robotics, cybersecurity, Physical AI, and advanced mobility projects. Conducts research on standards, regulations, and emerging technologies; assists with safety assurance and consulting activities; develops reports, presentations, workshops, and client deliverables; and contributes to AI safety, cybersecurity, robotics, and technology capabilities.

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.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Advance AI data and agentic environment creation by designing scalable pipelines combining automated generation, real-world data, and expert judgment. Run experiments, evaluate data and model performance, collaborate with engineering, product, customers, and domain experts, and translate research prototypes into production workflows. The role also involves developing expert-authoring workflows, monitoring frontier research, and representing findings through publications, talks, blogs, and customer engagements.

Lead multimodal research strategy for video and sensor understanding at petabyte scale. Select models, representations, training approaches, and evaluation methods; transition prototypes into production inference; define benchmarks; and optimize distillation, routing, cascades, quantization, GPU utilization, throughput, and cost. Translate customer research needs into technical programs while remaining hands-on with papers, models, experiments, and architecture. This is a senior individual contributor role with no direct reports.

Own end-to-end product marketing for Handshake AI's frontier lab business: create positioning, translate research to market content, enable sales with playbooks and assets, shape GTM strategy, and drive event and field marketing.

Tenure-track and tenured faculty will teach undergraduate and graduate courses, mentor students and postdoctoral researchers, conduct internationally recognized and independently funded AI or computer science research, and provide university and professional service. Research may focus on physical AI, human-centered AI, AI and software engineering, or AI safety, security, and alignment. Candidates will also contribute to inclusive teaching, experiential learning, and interdisciplinary collaboration across Northeastern’s colleges and research institutes.

Operate robotic platforms through teleoperation and motion-capture systems to collect high-quality raw data. Perform hands-on tasks using VR headsets, suits, and gloves, then complete basic data annotation and quality control. The role requires attention to detail, coordination, dexterity, physical stamina, good vision, and basic terminal command experience. Familiarity with software, robots, data collection, or annotation is advantageous.

Support consulting engagements and research across the semiconductor and AI stack by performing technical analysis, cross-stack research, analytical modeling, and preparing client-facing reports, presentations, and briefings. Track industry trends, evaluate hardware and AI model developments, and collaborate with senior consultants to translate technical insights into strategic recommendations.

Investigate honesty, alignment, and unexpected behaviors in frontier AI systems. Develop automated evaluations, analysis workflows, and LLM-as-a-judge pipelines; analyze agent transcripts and large datasets; identify anomalies; conduct rapid investigations; and communicate findings through rigorous reports for technical, policy, government, and AI lab audiences.