25 Ray roles across 11 companies, most in AI/ML; 20% fully remote; typical advertised salary $194.5k
Who is hiring (11 companies)
Role types
Work arrangement: 5 fully remote · 9 hybrid · 2 on-site · 9 not stated
Advertised salaries: p25 $185.8k · median $194.5k · p75 $230k (from 18 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 25 positions
Search with filters →Join Snorkel AI as a Staff Applied AI Engineer to deliver impactful AI solutions and drive customer success.
Join Reddit as a Staff Machine Learning Engineer to enhance ML efficiency and drive performance improvements in a fully remote role.
Join Braze as a Staff Machine Learning Engineer to drive transformative initiatives in ML production systems for personalized customer experiences.
Join Snorkel AI as a Senior/Staff AI Engineer to build infrastructure for large-scale AI experimentation and production systems.
Join Reflection AI as a Research Software Engineer to bridge research and production in cutting-edge AI training systems.
Join Reflection AI as a Data Ingestion Engineer to build and operate large-scale data ingestion systems for AI model training.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve state-of-the-art voice models in a fully remote role.
Join Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.
Join Atoms as a Staff Machine Learning Infrastructure Engineer to design and build large-scale ML training infrastructure for autonomous transport models.
Lead the technical strategy for Ads ML engineer lifecycle at Reddit, enhancing ML development processes and mentoring 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.