Deep Reinforcement Learning Jobs
Browse 11 exciting jobs hiring in Deep Reinforcement Learning now. Check out companies hiring such as Autodesk, Second Dinner, Unlearn in San Francisco, Vancouver, Overland Park.
Autodesk seeks a PhD-level Ecommerce Machine Learning Intern to develop, experiment with, and deploy recommendation and personalization models for its ecommerce platforms.
Second Dinner is hiring a remote AI/ML Engineer Intern for Summer 2026 to research and prototype cutting-edge AI technologies for use in game development.
Lead research-driven applied ML work to design and productionize probabilistic digital-twin models that accelerate clinical trials at a Series C AI company headquartered in San Francisco.
PhD candidates are invited to tackle large-scale AI and 3D research problems at Roblox during a 12–16 week internship, turning prototypes into experiments, production, or publications alongside engineers and researchers.
Contribute advanced ML and statistical research to develop and productionize market-making and portfolio-optimization models at Voleon Securities.
Lead development of models, datasets, and evaluations that advance theoretical research in mathematics and related fields while partnering with academia and engineering teams.
Experienced research engineers are wanted to build and scale multimodal AI and reinforcement learning training systems for autonomous vehicles at NVIDIA, combining publishable research with production-grade GPU infrastructure work.
Work with Eight Sleep’s AI team in San Francisco to research and build ML prototypes that improve sleep forecasting, multimodal activity understanding, and personalized thermoregulation.
Lead the development of robust, high-performance deep learning training infrastructure for NVIDIA's Autonomous Vehicles group to enable multi-thousand-GPU training and rapid experimentation on massive datasets.
Tinder is hiring a Software Engineer III, Machine Learning (Engagement & Growth) to develop and scale personalization and recommendation models that optimize notifications, CRM, and user retention.
Help advance physical AI for outdoor construction by developing and deploying state-of-the-art perception, planning and control models at an early-stage robotics startup.
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