- Robot type
- Autonomous Vehicle
- Location
- San FranciscoCaliforniaUSA
- Job type
- Artificial Intelligence
- Posted
- Oct 29, 2026
2027 Summer Intern, MS/PhD, Weather Perception
Job description
The Weather and Degraded Roads Perception team builds features that enable the Waymo driver to behave safely and comfortably in the presence of rain, fog, snow, ice, potholes, unpaved roads, trenches, and construction sites. In collaboration with the planner and control teams, we think broadly about how we want the vehicle to behave in these conditions and make every effort to accomplish our goals. Most of the team's work consists of designing new perception features, developing and retraining ML models, and building hybrid onboard/offboard systems to coordinate fleetwide behaviors.
Waymo interns partner with leaders in the industry on projects that create impact to the company.
Job responsibilities
- Research and implement novel ML perception solutions for Waymo’s self driving stack
- Develop applied research solutions to data-scarse challenges in Waymo’s weather space.
- Cross functional discussion and development within the Waymo onboard SW team
Job requirements
- MS or PhD in Computer Science, Robotics or equivalent
- Experience with machine learning applications, including transformer applications and ML evaluation techniques
- Experience with Python programming
- Experience with reading and implementing ML algorithms from academic papers
- Familiarity with Tensorflow or Pytorch or JAX
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