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

Описание вакансии

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