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Waymo

Company

2026 Summer Intern, PhD, ML Training Infra and Efficiency

City, State, Country [use ; to separate multiple locations]

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.

 

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:

  • Identify model performance bottlenecks and optimization opportunities
  • Improve the developer experience and performance of our scalable ML framework
  • Apply model optimization, efficient deep learning techniques and ML software improvements to Waymo's ML systems.

 

You have:

  • Python or C++ experience
  • Scale model training to multiple accelerators
  • Reinforcement learning
  • Machine Learning frameworks (e.g., TensorFlow, JAX, or PyTorch) and distributed training algorithms
  • Practical familiarity using ML accelerator profiling tools to uncover performance bottlenecks

 

We prefer:

  • ML compiler optimization such as TVM or XLA
  • Understand ML compiler infrastructure, such as of HLO and MLIR

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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About the job

Posted on

Nov 14, 2025

Apply before

Dec 14, 2025

Job typeFull-time
CategoryAI Training

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