2026 Summer Intern, MS/PhD, Software Engineer, Predictive Planner Research

Our team's mission is to scale the production Waymo Driver using cutting edge ML techniques. In this team, you will be working on state-of-the-art ML models for autonomous driving and have the opportunity to improve Waymo's onboard performance in the real world.

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:

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  Design and implement experiments for post-training of large behavior models

  
  
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  Evaluate and iterate on the model within the closed-loop simulation environment to rigorously assess the model's performance and identity failure modes

  
  
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  Leverage modern reinforcement learning algorithms and our industry-leading datasets to enhance the model's performance

  
  

You have:

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  Strong foundation in ML and/or Robotics

  
  
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  Proficiency in Python

  
  
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  Familiarity with Jax or PyTorch

  
  

We prefer:

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  Strong hands-on SWE skills

  
  
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  Experience in AV planning and related research

  
  
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  Pursuing a PhD in a relevant field

  
  

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.