Deeproute.ai
Research Scientist, Reinforcement Learning
Fremont, California, United States
Sponsorship not specifiedDetected 47 days ago
PythonC++AlgorithmsDeep LearningPyTorchLLMsResearch
About the role
- You will work on applying RL in closed-loop, safety-critical environments, leveraging large-scale simulation and real-world driving data to improve safety, comfort, and robustness.
Responsibilities
- Train and deploy RL policies in closed-loop driving environments Scale RL training using massively parallel simulation systems Design and optimize reward functions for complex driving behaviors Improve sim-to-real transfer for real-world robustness Collaborate with cross-functional teams to integrate models into production systems
Nice to have
- PPO, DPO, GRPO, etc.
Skills
- DQN, PPO, SAC, TD3, etc.
Benefits
- We are building next-generation end-to-end autonomous driving systems powered by reinforcement learning.
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