About the role#
This internship focuses on the development and evaluation of deep multimodal perception foundation models. You will join our team to improve how the Waymo Driver perceives the world. This is a full-time, paid position for Summer 2027.
What you'll do#
- Analyze internal feature representations of deep multimodal perception models.
- Train, fine-tune, and evaluate deep neural networks to improve overall performance.
- Validate model performance using large-scale sensor datasets and simulation environments.
- Inspect foundational models to identify signals on data quality.
- Build or improve data pipelines to enhance data quality.
What you'll need#
- Current enrollment in a PhD program for Computer Science, Robotics, Electrical Engineering, or a related field. Exceptional candidates with an MS or BS and relevant research experience are also welcome.
- Proficiency in Python.
- Practical experience training and evaluating deep learning models for computer vision or multimodal perception.
- A solid understanding of modern neural architectures.
- Research experience or publications regarding multimodal deep learning or vision foundation models.
- Hands-on experience with multi-camera or 3D LiDAR perception systems in robotics or autonomous driving.
- Experience evaluating large-scale perception systems in practical settings.
Location & details#
- This role is based in Mountain View, California.
- The position operates in a hybrid format.
- This is a full-time 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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