About the role#
This internship is part of the Weather and Degraded Roads Perception team. You will work on features that help the Waymo driver navigate rain, fog, snow, ice, and construction sites. The team designs perception features, retrains ML models, and builds hybrid systems to coordinate vehicle behavior. You will partner with industry leaders on projects that impact the autonomous driving stack.
What you'll do#
- Research and implement new ML perception solutions for the self-driving stack.
- Develop applied research solutions for data-scarce challenges in the weather domain.
- Engage in cross-functional discussion and development with the onboard software team.
What you'll need#
- MS or PhD in Computer Science, Robotics, or a related field.
- Experience with machine learning applications, including transformers and evaluation techniques.
- Proficiency in Python programming.
- Ability to read and implement ML algorithms from academic papers.
- Familiarity with Tensorflow, Pytorch, or JAX.
We prefer candidates with experience in real-time robotic systems, C++ programming, classical computer vision, or computational geometry. Having submissions in relevant robotics, ML, or computer vision conferences is also a plus.
Location & details#
- Location: San Francisco, California.
- Term: Summer 2027.
- Modality: Hybrid.
- Status: Full-time internship.
- Compensation: $70 per hour for Master's students and $85 per hour for PhD students.
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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