About The Position

Waymo’s Driver Refinement Foundations team provides a common, consistent framework and expertise for post-training and heuristic hill climbing across the Planner organization. The team builds fundamental platforms that help Waymo engineers improve driving behavior using data-driven and heuristic methods. As an intern, you will partner with industry leaders on impactful projects while applying your knowledge and developing your skills. The role focuses on working with driving data, leveraging language and world foundation models, building data generation pipelines, and designing and evaluating model-training experiments. This is a hybrid onsite internship.

Requirements

  • Currently enrolled in a graduate program (Master’s or PhD) in Computer Science or a related technical field.
  • Strong problem-solving and programming skills in Python and/or C++.
  • Good understanding of JAX or PyTorch.
  • Experience in model evaluation and understanding metrics.
  • Experience with strong software engineering principles.

Nice To Haves

  • Some understanding of SQL; preferred but not required.
  • Previous internship experience.
  • PhD preferred.

Responsibilities

  • Mine and curate dataset samples from large corpora of driving data.
  • Leverage large language models and world foundation models for reasoning, decision-making, and multimodality generation.
  • Design and implement robust data-generation pipelines.
  • Design and evaluate experiments for model training.
  • Design robust data-generation pipelines for model training.

Benefits

  • Competitive compensation packages with a housing/relocation bonus, if applicable.
  • Medical, dental, and vision insurance.
  • Intern events and networking opportunities.
  • Free breakfast, lunch, dinner, and snacks.
  • Free access to Google shuttles.
  • Onsite gym.
  • Interns are eligible to participate in the Company’s benefits programs, subject to eligibility requirements.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service