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Pytorch Jobs in San Francisco
142 open positions · Updated 1 week ago
142 Pytorch roles across 57 companies, most in AI/ML; 1% fully remote; typical advertised salary $204k
Who is hiring (57 companies)
Work arrangement: 2 fully remote · 55 hybrid · 28 on-site · 57 not stated
Advertised salaries: p25 $182.5k · median $204k · p75 $250k (from 82 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 142 positions
Search with filters →Design and implement state-of-the-art ML models and systems for Stripe Capital, collaborating with product teams to drive business goals.
Join Descript as an Applied Research Scientist to develop multimodal understanding models for innovative AI editing features.
Join insitro as a Staff Software Engineer to enhance imaging software and ML infrastructure in drug discovery.
Join Databricks as a Solutions Architect to shape big data solutions for leading tech companies with a focus on AI and data engineering.
Join Together AI as a Research Engineer to optimize large-scale training infrastructure for cutting-edge AI models.
Join insitro as a Senior Machine Learning Scientist to develop ML-driven computer vision pipelines for drug development.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Join Discord as a Senior Software Engineer to develop machine learning models that enhance ad relevance and drive revenue.
Join LaunchDarkly as an AI Specialist to revolutionize AI application development and drive product adoption.
Join LlamaIndex as an AI Research Engineer to enhance document understanding systems through applied research and engineering.
Lead a high-performing engineering team at Databricks to enhance the AI Runtime product for GPU training infrastructure.
Join Anthropic as a Research Engineer to enhance AI's coding capabilities through reinforcement learning in a collaborative environment.
Join Databricks as a Staff Software Engineer to drive the architecture of a managed GPU training platform for large-scale AI models.
Join Databricks as a Senior Software Engineer to build and scale a managed GPU training platform for AI models.
Lead a multidisciplinary research team to advance large-scale machine learning efficiency at Databricks.
Join Together AI as a Staff ML Engineer to optimize voice model serving for real-time applications on a high-impact team.