Revolutionizing transportation with autonomous driving
Waymo, a subsidiary of Alphabet Inc., is at the forefront of autonomous driving technology, operating robotaxis in cities like Phoenix, San Francisco, and Los Angeles. With over 10 million fully driverless rides and more than 100 million miles driven, Waymo is transforming transportation. The compan...
Waymo offers comprehensive medical, dental, and vision insurance for employees and their dependents, along with commuter benefits and onsite wellness ...
Waymo fosters a culture of innovation and safety, focusing on the real-world application of autonomous technology. The company values diversity and in...
Waymo • Mountain View, CA, USA
Waymo is offering a 2026 Summer Internship for MS/PhD students in Software Engineering focused on developing deep reinforcement learning models for autonomous vehicle planning. Interns will collaborate with researchers and engineers to analyze model performance and improve driving behavior. This position is based in Mountain View, CA.
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.
Reinforcement Learning. Specifically, this role will include experiments to address issues like: Sim2real gap, Reward formulation, model interpretability, and safety verification and evaluation. Our intern will work closely with Waymo's foundation models, as well as classical motion planning teams. The focus of the role is on application to real product performance, with the intention of affecting future Waymo driving behavior.
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:
Collaborate with researchers and engineers to design, development and implement deep reinforcement learning models for autonomous vehicles planning
Analyze model performance, triage failure cases, and identify opportunities for improvement. Tune the model as needed to improve performance
Stay up- to - date on the latest advancements in autonomous driving and machine learning
You have:
Experience with deep learning concepts and reinforcement learning
Proficient in Python and deep learning frameworks such as PyTorch, JAX, or TensorFlow
Currently pursuing a Masters/PhD degrees in Computer Science, Machine Learning, Robotics, or a related field
We prefer:
Experience in the autonomous driving domain, including areas like motion planning, perception, or control
Experience in integrating ML models into complicated systems
Proficient in C++
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.
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