You will be embedded in the ML Prediction and Planning team to build machine learning models that enable autonomous vehicles to understand their environment
Job Summary
You will be embedded in the ML Prediction and Planning team to build machine learning models that enable autonomous vehicles to understand their environment.
The internship offers direct mentorship from leading researchers and access to massive datasets of real driving logs for training models.
Candidates must be currently pursuing a degree with an expected graduation date between Winter 2026 and Spring 2027.
Matching Summary
You will be embedded in the ML Prediction and Planning team to build machine learning models that enable autonomous vehicles to understand their environment.
Skills & Requirements
Must-have
Python programming proficiency
PyTorch deep learning framework
Machine learning research experience
Open-loop and closed-loop metrics analysis
Trajectory generation algorithms
Nice-to-have
C++ familiarity or willingness to learn
Strong analytical mindset
Collaborative team player
Experience with reinforcement learning
Ability to read academic papers
Key Requirements
Pursuing Bachelor's, Master's, or PhD in CS, Robotics, ML, or related field
Expected graduation between Winter 2026 and Spring 2027
Authorized to work in the U.S.
Must reside within commuting distance of Austin, Texas