2026 Summer Intern, MS/PhD, Software Engineer, Learned Metrics

With over 1M RO miles per week, it is critical that Waymo is able to understand and assess the behavior of all its vehicles- both in the field and in simulation- with automated algorithms. In this role, you will collaborate across teams to bring state-of-the-art ML to production systems that accomplish this, building out what is effectively Waymo's reward model. This is a pivotal component to Waymo's ability to scale and reach its goals.

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:

• Debug an ML model's performance, understand why it is performing well in some areas but not in others
• Add new features to a model, including modifying a data pipeline and the model architecture

You have:

• Experience with at least 1 deep learning framework (Jax, Pytorch, Tensorflow, etc)
• Strong Python programming
• Experience training and debugging ML models in a research or industry context

We prefer:

• C++ Programming skills
• Experience training RL agents, including
  • Experience with REINFORCE, PPO, or other RL algorithms
  • Learned rewards or other techniques beyond manual reward tuning
• Experience applying ML to robotics applications

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.