Reinforcement Learning Intern - 2027
Core
Research, prototype, and implement state-of-the-art Reinforcement Learning (RL) algorithms for autonomous vehicle decision-making and trajectory planning.
Role type
research intern (deep reinforcement learning)
Builds
intelligent, safe, and efficient self-driving technology
Domain
autonomous driving / robotics
Deliverable
production ML models
Required skills
Reinforcement Learning (policy gradients, actor-critic, model-based), PyTorch, TensorFlow, Python, C++
Preferred skills
generative modeling (Flow Matching, Diffusion), trajectory prediction, world models, safety constraints in simulation
Technologies
PyTorch, TensorFlow, C++, Python
Responsibilities
Research and implement RL algorithms for autonomous driving; develop and scale training pipelines and simulation environments; integrate RL models into the autonomous driving stack; benchmark RL model performance; optimize RL policies for real-time deployment on automotive hardware
Seniority
Intern
