2026 Summer Intern, MS/PhD, Software Engineer, Planner Reasoning ML/DL

The Waymo Driver is increasingly powered by state-of-the-art machine learning. The crux of the open challenges remain in the tail end of the scenarios. As we drive millions of RO miles, we need mechanisms to learn from suboptimal driving. With this project, you will be building new levers in the ML models to learn from such data. This involves exploring SOTA fine tuning techniques such as (but not limited to) reinforcement learning. LoRA base finetuning,contrastive learning, etc, improving Waymo driver's abilities to navigate complex real world scenarios.

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:

• Frame the open-ended real-world problems into well-defined ML problems; apply deep learning, reinforcement learning, imitation learning to these problems. 

• Develop novel ways to learn from unsupervised driving data. Be able to apply SOTA techniques within Waymo's tooling/infrastructure. 

• Build data tooling/infrastruction to unblock experimentation.

• Use data-driven decision making to evaluate and compare different approaches

• Collaborate closely with partner teams such as perception, research, simulation, and evaluation

You have:

• Experience with deep learning concepts and reinforcement learning and reward functions

• Proficient in Python and deep learning frameworks

• Proficiency in dealing with large amount of data

• Currently pursuing a Masters / PhD degree in Computer Science, Machine Learning, Robotics, or 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++

• Proficient in PyTorch, JAX, or TensorFlow

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.