Vehicle Intent and Prediction Intern - PhD

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 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:

• Train & evaluate Loss of Control model to evaluate quality impact of your changes.
• Leverage existing learned models to derive signal on data quality.
• Design & implement measures of effectiveness of said signals.
• Develop or augment data pipelines to annotate synthetic training data with said signals.

You have:

• Currently enrolled in a PhD program. 
• ML coding in Python (e.g JAX or Pytorch).
• Strong knowledge of foundational statistics & math.
• Familiarity with neural networks.

We prefer:

• Familiarity with C++, especially in the context of data processing pipelines.
• Prior experience with robotics or prediction problems.

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.

Hourly PhD Pay 85 - 85 USD