2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations
Hybrid
Core
Building fundamental platforms for post-training and heuristic hill climbing to improve autonomous driving behavior using data-driven and heuristic methods.
Role type
Summer Intern, Machine Learning (Driver Refinement)
Builds
Data generation pipelines and evaluation frameworks for the Waymo Driver planner
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Python, C++, Jax, PyTorch, model evaluation, software engineering principles
Preferred skills
SQL, previous internship experience, PhD
Technologies
Jax, PyTorch, Large Language Models, World Foundation Models
Responsibilities
Mine and curate dataset samples from large corpus of driving data; Design and implement robust data generation pipelines; Design and evaluate experiments for model training
Seniority
Intern
