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76 open positions · Updated 1 week ago
76 Ray roles across 36 companies, most in AI/ML; 14% fully remote; typical advertised salary $190k
Who is hiring (36 companies)
Work arrangement: 11 fully remote · 24 hybrid · 14 on-site · 27 not stated
Advertised salaries: p25 $171.9k · median $190k · p75 $216.7k (from 39 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 76 positions
Search with filters →Join CoreWeave as a Senior Software Engineer II to build cutting-edge research infrastructure for AI labs.
Join Lyft as a Data Scientist on the Mapping team to enhance routing algorithms and improve travel time estimations.
Join Flatiron Health as a Senior Software Engineer to enhance cancer care through innovative technology and data solutions.
Join Flatiron Health as a Senior Software Engineer to enhance cancer care through innovative data solutions.
Lead a team to build and optimize machine learning infrastructure for drug discovery at Recursion Pharmaceuticals.
Join Dyno Therapeutics as a Sr. Machine Learning Engineer to build and scale AI tools for genetic medicine.
Join Cursor as a Software Engineer on the ML Platform to build infrastructure that enhances machine learning models and supports product engineers.
Lead the technical strategy for Ads ML engineer lifecycle at Reddit, enhancing ML development processes and mentoring engineers.
Join Reddit as a Senior Machine Learning Systems Engineer to build next-gen ML research tools and platforms for Ads ML lifecycle.
Join Databricks as a Staff Software Engineer to build LLM infrastructure for large-scale AI inference workloads.
Join Reddit as a Senior ML Engineer to develop advanced embedding models for advertising in a fully remote role.
Join Reddit as a Senior ML Engineer to develop advanced embedding models for advertising in a fully remote role.
Develop and run the research stack that powers Databricks AI Research, enabling rapid large-scale experiments.