You will:- Research, implement, and evaluate world action models for end-to-end autonomous driving
- Collaborate with research and engineering teams to improve the Waymo World Model
- Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publication
You have:- Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field
- Strong publication record in top-tier AI/ML or robotics conferences
- Hands-on experience training and evaluating deep learning models for autonomous driving or robotics applications
- Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
- Deep understanding of modern neural network architectures and learning paradigms
We prefer:- Experience with diffusion / flow matching models
- Experience with world action models in autonomous driving or robotics applications
- Familiarity with autonomous driving datasets
- Experience with open-source foundation models
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$85-$85 USD
