About the role#
The AI Foundations team works on machine learning solutions for autonomous driving. This internship focuses on large-scale generative and foundation model training recipes. You will work with researchers and engineers to help improve how Waymo vehicles operate in various conditions.
What you'll do#
- Design and run experiments for large-scale generative or foundation model training recipes.
- Review model evaluation metrics to find performance bottlenecks and develop optimization strategies.
- Work with the team to integrate new techniques into production training pipelines.
What you'll need#
- Current enrollment in a PhD program for Computer Science, AI, Robotics, or a related quantitative field.
- A background in deep learning, transformer architectures, and generative modeling.
- Proficiency in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow.
- Experience with distributed training across multi-node GPU or TPU clusters is preferred.
- Familiarity with autonomous driving perception, prediction, or planning is helpful.
- Publications at major AI or ML conferences like NeurIPS, ICML, ICLR, CVPR, ECCV, or ICCV are a plus.
Location & details#
- This is a full-time, paid internship for Summer 2027.
- The role is based in Mountain View, California.
- This position follows a hybrid work model.
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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