2027 Summer Intern, PhD, Machine Learning Research, Planning/Prediction
Hybrid
Core
Research, implement, and evaluate state-of-the-art generative models for planning and predictions using JAX to enable autonomous vehicle navigation.
Role type
Summer PhD Research Intern (Machine Learning)
Builds
Machine learning models for planning and prediction in autonomous driving
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Deep learning, Reinforcement learning, JAX, Python, C/C++, Model experimentation
Preferred skills
Publications in top-tier ML/Robotics conferences, Prior industry research or internship experience
Technologies
JAX, TensorFlow, PyTorch
Responsibilities
Research generative models for planning and predictions, Implement and evaluate ML models, Produce tested code, Collaborate with research and engineering teams
Seniority
Intern
