2027 Summer Intern, MS/PhD, Machine Learning, Planning/Prediction
Mountain View, California$70/hrFull-timePosted 1w ago
About the role
Intern software engineering position in Waymo’s Predictive Planning team (PrePlan) focused on state-of-the-art machine learning for autonomous vehicle planning, including generative models and reinforcement learning, to predict future states and plan Waymo Driver behavior.
Responsibilities
- 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
Qualifications
- 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++)
Skills
Required:Generative modeling for planning
Nice to have:Machine learning systems for productionFoundation models and reinforcement learning
Benefits
- Competitive compensation packages with a housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
- Free breakfast, lunch, dinner, and snacks (onsite)
- Free access to Google shuttles
- Onsite gym
- Generous benefits programs for interns, subject to eligibility requirements
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Waymo
The World’s Most Experienced Driver
Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.
Autonomous DrivingAutonomous VehiclesMobilityRide-Hailliquid-ai-recruiting-target
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