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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 Exa's Infrastructure Team to build massive-scale ML systems that redefine how AI consumes information.
Join Exa's Infrastructure Team to build massive-scale ML systems for a revolutionary AI-powered search engine.
Join Exa as a Data Engineer to build massive-scale data infrastructure for a revolutionary AI-powered search engine.
Join Mind Robotics as a Data Infrastructure Engineer to build and scale data pipelines for high-dimensional sensor data.
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 Cantina as an ML Engineer in Singapore to build and scale systems for processing large-scale video and multimodal data.
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 Senior Infrastructure Engineer to enhance our multi-cloud compute infrastructure for drug discovery.
Join Genesis Molecular AI as a Machine Learning Infrastructure Engineer to build innovative data systems for drug discovery.
Join Freenome as a Senior Machine Learning Engineer to develop and optimize deep learning pipelines for cancer detection.
Join Sesame as an ML Model Serving Engineer to enhance our serving layer for voice agents with cutting-edge techniques.
Lead complex, cross-functional programs in cluster orchestration and applied training within CoreWeave's AI/ML Platform Services.