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Research, implement, and evaluate world action models for autonomous driving while collaborating with research and engineering teams to improve the Waymo World Model. You're pursuing a Ph.D. in Computer Science, Robotics, Machine Learning, or related field with strong publication record in top-tier AI/ML conferences and hands-on experience training deep learning models. Required skills include Python, modern deep learning frameworks like PyTorch or JAX, and deep understanding of neural network architectures. This hybrid role in the U.S. pays $85/hour.

Written from this posting by Neural Jobs AI. The full description is below.

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Job Description

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.

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 publication

 

You 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 paradigms

 

We 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 models

 

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.

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
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  • Role 2027 Summer Intern, PhD, Research, World Action Model
  • Experience No experience yet
  • Education PhD
  • Work type On-site
  • Location United States
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Waymo
Robotics & Autonomy · 500+ Members · Mountain View, CA, United States

Waymo develops autonomous-driving technology and operates fully autonomous ride-hailing through Waymo One. Its Waymo Driver combines software, maps, cameras, lidar, radar, onboard computing, simulation, and operational systems to navigate public roads without a human driver. The company deploys the technology through purpose-selected vehicle platforms and partnerships, with safety validation central to its development process. Waymo originated as Google's self-driving car project and now operates as an Alphabet company focused on autonomous mobility.

Job Overview
Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
5 days ago
Job Type
Intern
Education
PhD
Experience
No experience yet

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