2027 Summer Intern, MS/PhD, Machine Learning, Planning/Prediction
Hybrid
Core
Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning and prediction.
Role type
Summer Intern, Machine Learning (Planning/Prediction)
Builds
ML-powered systems for the Waymo Driver to navigate complex environments safely and efficiently
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Deep learning libraries (TensorFlow, JAX, PyTorch), Python, C/C++, generative models, reinforcement learning, foundation models
Preferred skills
Publications in top-tier conferences (ICML, NeurIPS, CVPR, etc.), deploying ML systems in production environments
Technologies
TensorFlow, JAX, PyTorch, Python, C/C++
