2026 Summer Intern, PhD, ML Training Infra and Efficiency

Key Skills

C++, JAX framework, Machine learning techniques, Python Programming, PyTorch, TensorFlow

Job Description

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