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:

• Build reliable and generalizable deep learning models for the self-driving vehicles, ensuring that the behavior of our vehicles is safe, smooth, predictable to other road users
• Build robust solutions to cutting-edge driving problems
• Improve how our vehicles act and react in complex and nuanced situations
• Grow a fundamental understanding of the next driving challenges by analyzing real-world logs collected on our state-of-the-art fleet

You have:

• Pursuing a Masters or PhD program in Computer Science, Machine Learning, Robotics, or a similar technical field of study.
• Experience in deep learning research and tools such as TensorFlow or Pytorch.
• Software design and development experience in Python and C++.

We prefer:

• Publications in top ML conferences such as NeurIPS/ICML/CVPR.
• Experience in applying ML to behavior modeling (e.g. Imitation Learning, Behavior Prediction, Reinforcement Learning).
• Knowledge of a wide variety of deep learning models and designs.
• Previous ML/SWE internships on large-scale deep learning models and systems.

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.