Waymo interns work with leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skillset. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

You will:

• Scale distributed ML training frameworks to large clusters with thousands of accelerators
• Build mathematical models and conduct real experiments to analyze performance bottlenecks
• Improve distributed training efficiency by jointly optimizing communication and computation with cutting-edge technologies on ML runtime and compilers

You have:

• Progressing towards MS or PhD in Computer Science or related technical field.
• Python/C++ coding skills
• Familiarity with internals of ML frameworks (JAX, TensorFlow, PyTorch) and distributed training algorithms
• Experience with basics and algorithms of linear algebra, such as multi-dimensional MatMul and matrix calculus.
• Knowledge of deep learning models and optimization

We prefer:

• Familiarity using ML accelerators (GPU/TPU) with ML Compilers (TensorRT, XLA, etc.)
• Prior work on cloud computing platforms (AWS, Azure, GCP)

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.