Jobs / Research Scientist / San Francisco, CA
Research Scientist Jobs in San Francisco
13 open roles in San Francisco, CA.
Latest Research Scientist jobs in San Francisco
AI Research Scientist II (Full Time)- United States ENG/CPO/AISWP ETR
4 days agoResearch Scientist, Life Sciences (Chemistry)
10 days agoPhD Research Scientist Intern
18 days agoStaff Research Scientist, Foundation Models Recipes
21 days agoResearch Scientist - VLM Pretraining
25 days agoResearch Scientist - Post-training / RL
25 days agoResearch Scientist - Vision Foundation Models
25 days agoResearch Scientist, Takeoff Intel
about 1 month agoManager, Research Scientist
about 1 month agoPeople Research Scientist, Recruiting
about 1 month agoAI Research Scientist
about 1 month agoResearch Scientist, Life Sciences (Computational)
about 1 month agoPrincipal AI Research Scientist, Research Director - AI Scaling
about 1 month agoMarket overview
San Francisco's Research Scientist market currently features 38 open roles, reflecting a focused demand in AI-driven innovation with a median midpoint salary of $200,000. This compact ecosystem underscores the city's role as a hub for cutting-edge research, where opportunities cluster around specialized firms advancing machine intelligence and autonomous systems. Leading the hiring charge are Anthropic with 9 openings, Scale AI with 8, and Waymo with 7, signaling robust investment in foundational AI technologies and scalable data solutions. Anthropic's volume points to urgent needs in safe AI development, while Scale AI and Waymo's activity highlights expansion in data annotation and self-driving tech, creating pathways for researchers to influence high-impact projects at established players. Job postings consistently prioritize skills like machine learning, deep learning, and PyTorch, alongside large language models (LLMs), indicating that employers seek proven expertise in model training and optimization to tackle complex computational challenges. For applicants, this means gaps in these areas—such as limited hands-on work with PyTorch or LLMs—can disqualify even strong candidates, as roles demand immediate contributions to iterative research cycles. To stand out in this selective market, customize your application by quantifying your experience with at least two of these core skills, such as detailing PyTorch implementations in past projects or LLM fine-tuning results, and submit directly through employer portals to bypass generic filters and reach hiring teams faster.
Top hiring employers
- anthropic4 open roles
- epsilon-health3 open roles
- cisco1 open roles
- sprinter-health1 open roles
- scaleai1 open roles
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