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2027 Summer Intern, PhD, Machine Learning - Generative World Models & Controllable Simulation

Waymo · Mountain View, California, United States · Mountain View (US-MTV-EMF680)

Roboticsonsiteintern$177k
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At a glance

Highlights

  • Build controllable foundation world models for autonomous driving simulation.
  • Advance holistic world simulation with multimodal sensor and semantic conditioning.
  • Evaluate closed-loop interactive realism and long-tail scenario synthesis at scale.

What they offer

  • Generous benefits programs subject to eligibility requirements

Ideal candidate

A curious PhD researcher passionate about generative modeling and autonomous driving who thrives on hard research problems and collaboration to advance realistic, controllable simulation toward real-world impact.

Requirements

  • Currently pursuing a PhD in Computer Science, Machine Learning, Robotics or related field, graduating Dec 2027-Aug 2028 and returning for at least one term after internship
  • Strong Python and JAX/Flax or PyTorch implementation and debugging skills with experience training modern neural architectures
  • Hands-on research experience in controllable generative world modeling and inference-time scaling or multimodal spatiotemporal representation learning and closed-loop simulation
hiring process
Accepting resumes on a rolling basis until filled; apply individually to top 3 roles of interest for multiple considerations

Lab profile

About Waymo

Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.

What they build

  • Waymo Driver
  • Fully autonomous ride-hail service

Known for

  • Large-scale driving simulation
  • Simulation realism
  • Quantitative evaluations
  • Onboard autonomy models

Key facts

  • Founded in 2009
  • Started as the Google Self-Driving Car Project
More about Waymo →
Apply on the lab’s site ↗

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