2027 Summer Intern, PhD, AI Foundations - Recipes

First Roles

Mountain View (CA)

Hybrid

USD 97,000 - 138,000

Full time

3 days ago
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Benefits offered by this job

Hybrid onsite internship

Job summary

Waymo in Mountain View, CA is offering a 2027 Summer Internship for PhD candidates in AI Foundations. You will design and run experiments on large-scale generative or foundation model training recipes and collaborate with researchers to integrate novel techniques into production training pipelines.

The role requires enrollment in a PhD program in CS, AI, or robotics, strong background in deep learning and transformers, and proficiency in Python and DL frameworks such as PyTorch, JAX, or

Qualifications

  • Currently enrolled in a PhD program in CS, AI, robotics or related field.
  • Strong background in deep learning and transformer architectures.
  • Proficiency with Python and DL frameworks (PyTorch, JAX, TensorFlow).

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.

Skills

Deep learning
Transformer models
Python
PyTorch
JAX
TensorFlow

Education

PhD candidate in Computer Science

Tools

PyTorch
JAX
TensorFlow

Job description

# 2027 Summer Intern, PhD, AI Foundations - RecipesInternship Live nowMountain View, CAPosted October 22, 2026Last seen at Waymo on October 22, 2026.FirstRoles never charges new grads or interns to apply.## About this roleWaymo 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 DriverTM—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.The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.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:Design and conduct experiments on large-scale generative or foundation model training recipesAnalyze model evaluation metrics to identify performance bottlenecks and optimization strategiesCollaborate with researchers and engineers to integrate novel techniques into production training pipelinesYou have:Currently enrolled in a PhD program in Computer Science, AI, Robotics, or a related quantitative fieldSolid background in deep learning, transformer architectures, and generative modelingProficiency 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 clustersFamiliarity with autonomous driving perception, prediction, or planning problemsNote: 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
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