2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations
Hybrid
Core
Build fundamental platforms for post-training and heuristic hill climbing to improve Waymo's autonomous driving planner using data-driven and heuristic methods.
Role type
Summer Intern, Machine Learning Engineer (Driver Refinement)
Builds
Data Flywheel and Reasoning platform for the Planner organization
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Python, C++, Jax, PyTorch, model evaluation, metric development, RLFT, large language models, world foundation models
Responsibilities
Mine and curate dataset samples from large corpus of driving data; Optimize Multimodal generative models using RLFT; Design and implement Evaluation metrics and iterate on improvements