2026 Summer Intern, MS/PhD, ML Training Infra and Efficiency

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

• Evaluate end-to-end ML training workflows to pinpoint feature gaps and construct infrastructure components that streamline training processes.
• 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
• 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
• Reinforcement learning
  
  

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 Masters Pay

$70—$70 USD

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