2027 Summer Intern, MS/PhD, Machine Learning, Planning/Prediction
Summary
Summer 2027 MS/PhD machine learning intern on Waymo's Predictive Planning team in Mountain View, researching and implementing state-of-the-art generative models for autonomous vehicle planning and prediction, using deep learning frameworks like TensorFlow, JAX, and PyTorch plus Python and C/C++.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
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.
The subteam for this role will be:
The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently.
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:
- Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning
- Develop next-generation, ML-powered systems that enhance the capabilities of the ML driver and accelerate the rapid scaling of Waymo’s business
- Translate open-ended, real-world driving challenges into well-defined machine learning problems, applying cutting-edge techniques, including foundation models and reinforcement learning
You have:
- Currently pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field
- Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch)
- Proficient programming skills (eg: Python, C/C++)
We prefer:
- Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP
- Hands-on experience deploying, evaluating, and maintaining ML-based systems in real-world, production environments
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.
Skills
As published by greenhouse · 11 questions
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (4)
- Website optional
- LinkedIn Profile optional
- If yes, please provide your LDAP. optional
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Pick from a list (7)
- How did you hear about this opportunity? optional
- Do you require work authorization?
- If yes, what kind? (If you do not require work authorization sponsorship please select Not Applicable.)
- Would you require an export license under the circumstances described below?
- Are you a current or former Alphabet employee, intern, vendor, contractor, or temp (including Google and other Alphabet subsidiaries)?
- Please review and acknowledge our Candidate Privacy Policy linked below:
- To ensure a fair and accurate assessment of each candidate's unique capabilities, Waymo prohibits the use of unauthorized outside assistance during the interview process. This includes, but is not limited to, artificial intelligence (AI) tools, generative software, or third-party resources, unless explicitly authorized by the hiring team. By submitting this application, you acknowledge and agree to adhere to these guidelines.
