2027 Summer Intern, PhD, Research, World Action Model

We Love AI Jobs; Mountain View (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Hybrid onsite internship

Generous benefits programs

Job summary

Waymo invites PhD students to join our World Action Models internship on the Waymo AI Foundations team in Mountain View, CA. You will research, implement, and evaluate world action models for end-to-end autonomous driving, collaborating with researchers and engineers to improve the Waymo World Model.

You should be pursuing a Ph.D. in CS, Robotics, ML, or EE, with a strong publication record and hands-on experience in deep learning for autonomous driving.

Qualifications

• Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field.
• Strong publication record in AI/ML or robotics conferences.
• Hands-on experience with deep learning models for autonomous driving or robotics.

Responsibilities

• Research, implement, and evaluate world action models for end-to-end autonomous driving.
• Collaborate with research and engineering teams to improve the Waymo World Model.
• Communicate research findings through technical reports or publications.

Skills

Python

PyTorch

JAX

TensorFlow

Deep learning

World action models

Diffusion models

Flow matching

Education

Ph.D. in Computer Science / Robotics / ML / Electrical Engineering

Job description

# 2027 Summer Intern, PhD, Research, World Action ModelWaymoMountain View, CA, USAInternshipAI tools:PyTorchJAXTensorFlowUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis research internship investigates world action models for end-to-end autonomous driving as part of Waymo’s AI Foundations team. You’ll implement and evaluate models and collaborate with research and engineering teams, with opportunities to share findings through reports or publications.* Internship* Hybrid* PhD (in progress)### Skills and expertisePythonPyTorchJAXTensorFlowdeep learningworld action modelsdiffusion modelsflow matching### Key responsibilities* Research, implement, and evaluate world action models for end-to-end autonomous driving.* Collaborate with research and engineering teams to improve the Waymo World Model.* Communicate research findings through technical reports or academic publications.## How this job comparesCompared with 20 open intern research jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 20 open intern research jobs at 15 companies.Remote work: This job is hybrid. 1 of the 20 intern research jobs (5%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. The internship centers on researching, implementing, and evaluating deep learning models for autonomous driving. The role is part of a team developing machine-learning solutions for the Waymo Driver.## Full descriptionWaymo 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 DriverTM—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.The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.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 world action models for end-to-end autonomous driving• Collaborate with research and engineering teams to improve the Waymo World Model• Conduct cutting-edge research and potentially communicate research findings to the wider academic community via technical reports and/or publicationYou have:• Currently pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, Electrical Engineering, or a related field• Strong publication record in top-tier AI/ML or robotics conferences• Hands-on experience training and evaluating deep learning models for autonomous driving or robotics applications• Strong Python coding skills with expertise in modern deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)• Deep understanding of modern neural network architectures and learning paradigmsWe prefer:• Experience with diffusion / flow matching models• Experience with world action models in autonomous driving or robotics applications• Familiarity with autonomous driving datasets• Experience with open-source foundation modelsNote: 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.The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements.Hourly PhD Pay$85—$85 USD