2027 Summer Intern, PhD, Research, Post Training
About this role
This internship suits a doctoral candidate in computer science, robotics, machine learning, or a related quantitative field seeking hands-on research experience in autonomous driving. Based in Mountain View, CA or San Francisco, CA, this hybrid position involves developing post-training machine learning solutions for autonomous vehicles.
Role Overview
Waymo offers a summer internship for PhD students focusing on research within the AI Foundations team. The position requires working on-site in a hybrid capacity in Mountain View or San Francisco, California. Interns collaborate with industry leaders on projects designed to improve autonomous driving technology and expand their own technical skill sets.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Waymo operates as an autonomous driving technology organization originating from the Google Self-Driving Car Project in 2009. The enterprise develops the Waymo Driver system to power fully autonomous ride-hailing services and various vehicle platforms across multiple United States locations.
How to Apply
Candidates should apply directly through the official Waymo careers page.
Skills and tech stack
Questions candidates ask
What is the location of this internship?
This hybrid onsite internship is located in Mountain View, CA or San Francisco, CA.
Who is eligible to apply for this role?
Applicants must be currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field.
What is the compensation for this position?
The hourly pay rate is $85 USD, and interns are eligible for company benefits programs subject to requirements.
What is the work schedule type?
This is a full-time hybrid internship position.
What technical knowledge is expected?
Candidates need knowledge of large foundation model pre-training and post-training, hands-on model training experience, and the ability to write reliable code.