Hire Top ML Engineers in San Francisco
San Francisco is the world's deepest ML engineering talent pool, shaped by OpenAI, Anthropic, Google Brain, Meta FAIR and a long tail of frontier-model startups. GitHunt ranks SF ML engineers by their real GitHub contributions.
Preview: Top 10 of 85 Developers
Showing a curated sample of elite developers from our talent index.
AI/ML Consultant, 2nd-time Founder, Former Sr SDE @ Amazon
Building @usestrix - Applied Data Scientist @ Microsoft
Founding Prod Breaker @browser-use
20. passionate dev who ships (a lot). 2x acquired founder. I just wanna make products that people love 💖. Working on @supermemoryai
Software Engineer building Tech Communities
Devops/Automation guy. I build tools so you don't have to. I build things. Then I break them. Most of the time I fix them again.
Why Hire ML Engineers in San Francisco?
About ML Engineers
Senior ML engineers in SF own training pipelines, fine-tuning workflows, inference infrastructure, or model evaluation systems. The strongest SF ML candidates have shipped production model serving at scale and have meaningful contributions to OSS training or inference frameworks.
The SF ML ecosystem has bifurcated: pure ML engineers (training, MLOps, evaluation) versus AI/LLM-application engineers. GitHunt's role-aware scoring distinguishes these directly via commit fingerprints on PyTorch, vLLM, Ray, transformers versus LLM-app frameworks.
Market Insights: ML Engineers in San Francisco
The 2026 SF ML engineering market is extreme: senior ML engineers with shipped frontier-model training or inference experience command $300k-$500k base plus heavy equity. Mid-level production ML engineers sit at $200k-$280k base.
LinkedIn captures very little of the strongest SF ML talent - many key ICs are quiet OSS contributors to PyTorch core, vLLM, Flash Attention, FlashInfer, or Ray. GitHunt indexes their commit history directly and ranks by exact role and stack match.
Use GitHunt to find SF ML engineers in days, with verified contributions to the production ML stack you actually use.
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