2027 Summer Intern, PhD, Machine Learning, Planning/Prediction
Core
Research, implement, and evaluate state-of-the-art machine learning models for planning and prediction to enable autonomous vehicle navigation.
Role type
Summer PhD intern, machine learning planning and prediction
Builds
Deep neural networks for predicting future world states and planning autonomous vehicle behavior
Domain
Autonomous driving, robotics, machine learning
Deliverable
production ML models
Required skills
Transformers architecture, reinforcement learning, deep learning libraries (TensorFlow, JAX, PyTorch), Python programming, analytical skills, debugging skills
Responsibilities
Research and implement state-of-the-art models for planning and predictions, analyze results in open-loop and closed-loop environments, conduct machine learning experiments, present conclusions and insights
Seniority
Intern, research-focused
