About the role#
The Predictive Planning team works on machine learning solutions that predict the future state of the world and plan vehicle behavior. As a PhD intern, you will join this team to transform driving data into neural networks that help our vehicles navigate complex environments. This is a full-time internship for Summer 2027.
What you'll do#
- Research, implement, and evaluate generative models for planning and predictions using JAX.
- Conduct experiments with machine learning models.
- Produce high-quality, tested code.
- Collaborate with research, product, and engineering teams to introduce new research concepts.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Machine Learning, Robotics, or a related field.
- Experience with deep learning or reinforcement learning.
- Hands-on experience with modern deep learning libraries such as JAX, TensorFlow, or PyTorch.
- Programming skills in Python or C++.
- Strong analytical and debugging skills.
- Preference for candidates with publications in conferences like ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP.
- Preference for prior research or software development industry experience.
Location & details#
- This role is based in Mountain View, California.
- The position is a hybrid, on-site role.
- This is a paid internship.
About Waymo
Waymo is a technology company that develops automated driving systems. It focuses on mobility and road safety through its Waymo Driver technology. The firm operates as a private organization and employs between 1,001 and 5,000 people. It was founded in 2009 and maintains its headquarters in Mountain View, California.
How to get in at Waymo
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