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← Waymo

2027 Summer Intern, MS/PhD, Software Engineer, ML Frameworks and Efficiency

Waymo · Mountain View, CA, USA · Mountain View (US-MTV-EMF680)

Roboticsonsiteintern$146k–$177k
Apply on the lab’s site ↗

At a glance

Highlights

  • Scale ML infrastructure powering the world's most trusted autonomous driver.
  • Extend RL infrastructure to support LPM model training at scale.
  • Profile training bottlenecks and integrate promising new RL technologies.

What they offer

  • Competitive compensation packages with housing/relocation bonus if applicable
  • Medical, dental, and vision insurance
  • Fun intern events and networking opportunities
  • Free breakfast, lunch, dinner, and snacks
  • Free access to Google shuttles
  • Onsite gym

Ideal candidate

MS or PhD student passionate about efficient large-scale ML and autonomous driving who loves profiling bottlenecks, improving RL training infrastructure, and turning research ideas into reliable systems.

Requirements

  • Currently pursuing Master's or PhD in Computer Science, Electrical Engineering, Machine Learning, Robotics or related technical field
  • Fundamental understanding of machine learning, deep learning and reinforcement learning
  • Familiar with modern frameworks such as JAX, Flax, PyTorch or TensorFlow
  • Strong software development skills with Python
  • Experience with hands-on ML or RL projects
  • Experience with large-scale ML system infrastructure
  • Experience with autonomous driving or related technologies
hiring process
Accepting resumes on a rolling basis until filled; apply individually to top 3 roles of interest.

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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