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PyTorch Jobs
498 open positions · Updated 9 hours ago
498 PyTorch roles across 149 companies, most in AI/ML; 10% fully remote; typical advertised salary $190k
Who is hiring (149 companies)
Work arrangement: 51 fully remote · 148 hybrid · 99 on-site · 200 not stated
Advertised salaries: p25 $150k · median $190k · p75 $230k (from 210 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 498 positions
Search with filters →Join Exa as a Research Engineer to enhance search quality through advanced content understanding and machine learning techniques.
Help build scalable GenAI infrastructure and improve ML platform productivity at Airbnb.
Join Profound as a Post-Training Engineer to enhance AI models for Fortune 500 marketing teams in a fast-paced environment.
Join Harvey as a Research Engineer to build infrastructure for ML models in a fast-paced, fully remote environment.
Join Harvey AI as a Member of Technical Staff to build infrastructure for ML models in legal work.
Lead a team of Enterprise Solution Engineers to drive customer outcomes with Dataiku's AI and Agent Management platforms.
Lead a team of Enterprise Solution Engineers to drive customer outcomes with Dataiku's AI and Agent Management platforms.
Own the Reinforcement Learning and On-Policy Distillation post-training pipeline to improve clinical reasoning and safety in AI healthcare models.
Join Atoms as an AI Research Intern to bridge AI research and real-world applications in autonomous transport platforms.
Lead the Core Ads Ranking team at Reddit to shape foundational modeling and deep user understanding.
Lead the Rider Recommendations team at Lyft, focusing on AI and ML to enhance user experience in the Rider App.
Join Skydio as an intern to develop reinforcement learning methods for autonomous drones in real-world applications.
Join Specter as an ML Infrastructure engineer to build and scale machine learning systems for real-time perception across edge-cloud platforms.
Join Eka Robotics as a Machine Learning Infrastructure Engineer to build and maintain large-scale model training systems for robotics.
Join Eka Robotics as a Machine Learning Engineer to develop cutting-edge computer vision systems for robotic manipulation.