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. We also work with Vision Language Models (VLMs) to enable appropriate driving behavior in long-tail situations.

Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

• 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

You have:

• 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

We prefer:

• Classical computer vision or computational geometry experience
• Submissions in relevant robotics, ML, or Computer Vision Conferences (ICML, RSS, IROS, CORL, CVPR)
• Experience in real time robotic systems
• Experience in  C++ programming

Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.