2026 Summer Intern, PhD, Software Engineer, Predictive Planner ML/DL

Our team develops full-stack cutting edge ML solutions for autonomous vehicles behavior improvements to achieve Waymo's critical milestones and realize its ML vision. This encompasses modeling enhancements via feature engineering, data shaping, model design and tuning. This team plays a key role in translating and applying advancements from foundation models to realize real product impacts.

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 a world-class team of researchers and engineers to develop cutting edge large models for planning of autonomous vehicles

• Incorporate the large models into production planning system for real-world applications with improved performance

You have:

• Currently pursuing a PhD degree in Computer Science, Machine Learning, Robotics or a similar discipline

• Experience with Deep Learning, Generative Models

• Python coding skills

• Familiar with deep learning frameworks such as PyTorch, JAX, Tensorflow

We prefer:

• Publications on top-tier conferences such as: CVPR, ICCV, ECCV, ICLR, ICML, NeurIPS, IROS, CoRL, ACL, EMNLP, etc

• Experience in Autonomous Driving domain

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.