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Ray Jobs in San Francisco
20 open positions · Updated 3 days ago
20 Ray roles across 13 companies, most in AI/ML; typical advertised salary $190k
Who is hiring (13 companies)
Work arrangement: 6 hybrid · 4 on-site · 10 not stated
Advertised salaries: p25 $172.5k · median $190k · p75 $199.8k (from 10 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 20 positions
Search with filters →Join Snorkel AI as a Senior/Staff AI Engineer to build infrastructure for large-scale AI experimentation and production systems.
Join Neuralink as a Software Engineer, ASIC, to build scalable infrastructure for cutting-edge brain interface technology.
Join Reflection AI as a Data Ingestion Engineer to build and operate large-scale data ingestion systems for AI model training.
Join Arcade Software as a Senior Machine Learning Engineer to innovate AI-driven content generation in a collaborative environment.
Join Handshake as a Senior Software Engineer to build scalable ML infrastructure for a fast-growing AI data business.
Join Baseten as a Post-Training Research Engineer to build in-house tooling for efficient and high-quality machine learning models.
Join Snorkel AI as an Applied AI Engineer to deliver impactful Gen AI and ML solutions for federal clients.
Join Exa's Infrastructure Team to build massive-scale ML systems that redefine how AI consumes information.
Join Exa as a Data Engineer to build massive-scale data infrastructure for a revolutionary AI-powered search engine.
Join Atoms as a Staff Machine Learning Infrastructure Engineer to design and build large-scale ML training infrastructure for autonomous transport models.
Join Sesame as an ML Model Serving Engineer to enhance our serving layer for voice agents with cutting-edge techniques.
Join Cursor as a Software Engineer on the ML Platform to build infrastructure that enhances machine learning models and supports product engineers.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.