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2027 Summer Intern, MS/PhD, Machine Learning Engineer

Waymo· Software Engineering
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Hybrid (San Francisco, CA)$70/hrFull-timePosted 4w ago

About the role

Internship at Waymo focusing on machine learning for autonomous driving. Interns train and evaluate deep learning models, collaborate with multiple teams, and present results. Hybrid onsite internship in San Francisco, CA.

Responsibilities

  • Train and fine-tune a large multi-task transformer over driving-log sequences, in JAX/Flax on TPUs - iterating on fine-tuning strategies, training data mixtures, and losses to improve evaluation quality for the hillclimbing workflow
  • Design and run rigorous offline and end-to-end evaluations - PR-AUC, calibration quality, and metric sensitivity on real hillclimbing A/B runs - and build the dataset and evaluation pipelines needed to produce them
  • Land production-quality code in a shared, high-traffic codebase, and communicate results through a design doc, team deep dives, and a final intern presentation, partnering with UEM Core, Data Science, and release-eval stakeholders

Qualifications

  • Currently enrolled in an PhD or MS program in Computer Science, Machine Learning or a related field, returning to the program after the internship

Skills

Required:Deep learning model training and evaluationProgramming (C++, Python)

Benefits

  • Generous benefits programs (eligible)
  • Health and wellness benefits (medical, dental, vision)
  • Flexible work arrangements (on-site or hybrid)
  • Education reimbursement and professional development
  • Paid time off, parental leave, and other family-supportive benefits
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Waymo

The World’s Most Experienced Driver

Waymo—formerly the Google self-driving car project—makes it safe and easy for people & things to get around with autonomous vehicles.

Autonomous DrivingAutonomous VehiclesMobilityRide-Hailliquid-ai-recruiting-target
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