Direct from source · No middlemen
40 open positions · Updated 2 days ago
40 Ray roles across 22 companies, most in AI/ML; 10% fully remote; typical advertised salary $206k
Who is hiring (22 companies)
Role types
Work arrangement: 4 fully remote · 15 hybrid · 9 on-site · 12 not stated
Advertised salaries: p25 $185.8k · median $206k · p75 $230k (from 29 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 40 positions
Search with filters →Help build scalable GenAI infrastructure and improve ML platform productivity at Airbnb.
Join Specter as an ML Infrastructure engineer to build and scale machine learning systems for real-time perception across edge-cloud platforms.
Join Inworld AI as a Senior Machine Learning Engineer to optimize and run real-time AI inference systems in a collaborative environment.
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.
Own the backend infrastructure for AI agents in healthcare, ensuring reliability and scalability in a fast-paced environment.
Join Robinhood as a Senior Machine Learning Engineer to lead the architecture of scalable ML systems in a hybrid work environment.
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 Inworld AI as a Staff/Principal Machine Learning Engineer to optimize and serve top-ranked realtime voice models.
Join Handshake as a Senior Software Engineer to build scalable ML infrastructure for a fast-growing AI data business.
Join Applied Intuition as an AI Performance Engineer to optimize large-scale machine learning workloads in a collaborative environment.
Join Applied Intuition as a Research Engineer to design and build AI infrastructure for next-generation physical AI systems.
Join Periodic Labs as an ML Systems Engineer to build and optimize large-scale training and reinforcement learning infrastructure.
Join Atoms as a Staff Machine Learning Infrastructure Engineer to design and build large-scale ML training infrastructure for autonomous transport models.
Lead the unification of large datasets to power generative audio models in a fast-moving team at Udio.
Join Genesis Molecular AI as a Machine Learning Infrastructure Engineer to build innovative data systems for drug discovery.
Join Genesis Molecular AI as a Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.