22 hours ago
London, United KingdomIntern
Responsibilities
- Develop controllable and realistic adversarial agents for simulation-based evaluation.
- Deploy adversarial agents in the Waymo Simulator.
- Iterate on post-training recipes for foundation models and Waymo world models.
Requirements
- Currently pursuing a PhD in Computer Science, Machine Learning, Robotics, or a related technical field.
- Proficiency in Python coding and tensor manipulation using PyTorch, NumPy, JAX, TensorFlow, or similar tools.
- Experience with machine learning and deep learning.
- Preferred: hands-on experience with post-training and reinforcement learning.
- Preferred: experience with attention mechanisms, diffusion or autoregressive architectures.
- Preferred: experience with autonomous driving or robotics.
Benefits
- Hybrid onsite internship position.
- Interns are eligible for the company’s benefits programs, subject to eligibility requirements.
- Applications are accepted on a rolling basis until the role is filled.
Categories
About Waymo
Waymo develops the Waymo Driver, a full-stack autonomous driving system, and operates the Waymo One robotaxi service that offers paid, driverless rides in select U.S. cities. The company monetizes through ride-hailing fares and partnerships integrating its technology on multiple vehicle platforms. Founded in 2009 as Google’s self-driving project, Waymo is headquartered in Mountain View and is an Alphabet subsidiary, with over 10 million rider-only trips and 100+ million autonomous miles on public roads.