2025 Summer Intern, PhD, ML Planner Optimization

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.

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

This internship will be based on-site at our headquarters in Mountain View, CA.

You will:

• Iterate on feature engineering and hyperparameter tuning
• Triage examples
• Run quality experiments
• Go through launch evals and deploy changes to production

You have:

• Pursuing a PhD program in Computer Science, Machine Learning, Robotics, or a similar technical field of study.
• Understanding of the principles of ML, including gradient descent, optimization, hyperparameters tuning.
• A good understanding of data mining and analysis principles and techniques.
• Strong programming skill in Python.

We prefer:

• Strong programming skill in C++.
• Robotics experience or knowledge.

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.