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2027 Summer Intern, PhD, AI Foundations
Waymo
About the Role
Waymo is seeking a 2027 Summer Intern, PhD, AI Foundations - Recipes. This internship offers the opportunity to partner with industry leaders on projects that create impact for the company. Learning is a two-way street, with opportunities to apply knowledge and expand your skill-set.
Key Responsibilities
- Design and conduct experiments on large-scale generative or foundation model training recipes.
- Analyze model evaluation metrics to identify performance bottlenecks and optimization strategies.
- Collaborate with researchers and engineers to integrate novel techniques into production training pipelines.
Requirements & Tech Stack
- Currently enrolled in a PhD program in Computer Science, AI, Robotics, or a related quantitative field.
- Solid background in deep learning, transformer architectures, and generative modeling.
- Proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).
Qualifications
- Publications at top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV).
- Experience with distributed training across multi-node GPU/TPU clusters.
- Familiarity with autonomous driving perception, prediction, or planning problems.
Note: This will be a hybrid onsite internship position. Resumes will be accepted on a rolling basis until the role is filled. Applicants are encouraged to apply to their top 3 roles of interest.
Expected hourly rate: $85 USD.