2027 Summer Intern, PhD, Safety Research, Human Behavior Analytics

You will:

• Survey the state-of-the-art in digital neuroscience / cognitive science and mechanistic interpretability
• Develop models able to represent some select aspects of human driving behavior not typically accounted for by existing data-driven ML models (e.g., collision avoidance, road user interaction or visual behavior)
• Explore and demonstrate different ways in which the internal mechanisms of these models can be interpreted and explained

You have:

• A strong research background and expertise in cognitive science and / or neuroscience
• Expertise in contemporary AI and machine learning
• Strong documented computational skills (math and coding)

We prefer:

• Specific experience from research on mechanistic interpretability

General Perks:

• Help solve challenging problems with a direct impact on the company
• Competitive compensation packages with a housing/relocation bonus (if applicable)
• Medical, dental, and vision insurance
• Fun intern events and networking opportunities

Onsite Perks:

• Free breakfast, lunch, dinner, and snacks
• Free access to Google shuttles
• Onsite gym

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.

At Waymo, we don’t just accept differences - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.