2027 Summer Intern, PhD, AI Foundations - Recipes
Waymo · Mountain View, CA, USA
About this role
**Waymo — AI Foundations (2027 Summer Intern, PhD)** Waymo is an autonomous driving technology company with the mission to be the world’s most trusted driver. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can be applied across a range of vehicle platforms and product use cases. The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, with the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. Current focus areas include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation. --- **You will:** - 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 **You have:** - 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) **We prefer:** - 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 --- **Location / Application Notes** - Hybrid onsite internship position - Resumes accepted on a rolling basis until the role is filled - To be considered for multiple roles, apply to each one individually (apply to the top 3 roles you’re interested in) **Pay Transparency** - Expected hourly rate: **$85–$85 USD**
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