The subteam for this role will be:
The Predictive Planning team (PrePlan) develops and deploys state of the art machine learning solutions that predicts the future State of the world and plan the Waymo Driver's Behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performat deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.
You will:- Research, implement, and evaluate state-of-the-art models for planning and predictions
- Analysis of results in both open-loop and closed-loop
- Conduct machine learning experiment using JAX and Python
- Collaborate within and across teams, and present the conclusion / insights in a clear manner
You have:- Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics, or related field
- Experience with Transformers architecture and reinforcement learning
- Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) with basic programming skills (eg: Python)
- Strong analytical and debugging skills
We prefer:- Publications in top-tier machine learning or robotics conferences
- Prior software development or research industry experience
- Background knowledge in the AV industry, particularly for behavior-related research
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
