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Waymo

2027 Summer Intern MS PhD Machine Learning Engineer

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Description

You will train and fine-tune a multi-task transformer using JAX and Flax on TPUs, design offline and end-to-end evaluations, build data and evaluation pipelines, deliver production-quality code, and communicate results through technical documentation and presentations.

Responsibilities

  • Train and fine-tune a multi-task transformer over driving-log sequences
  • Design and run offline and end-to-end evaluations
  • Build datasets and evaluation pipelines
  • Deliver production-quality code in a shared codebase
  • Communicate results through a design document, deep dives, and a final presentation

Requirements

  • Enrollment in a PhD or MS program in Computer Science, Machine Learning, or a related field
  • Deep learning model training and evaluation
  • JAX, PyTorch, or TensorFlow
  • Data pipeline development
  • C++
  • Python
  • Machine learning fundamentals
  • Experiment design

Benefits

  • Housing or 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
  • Mental wellness support
  • Gym membership
  • Wellness programs
  • Bonus opportunities
  • Equity
  • Employee discounts
  • Paid time off
  • Bereavement leave
  • Sick leave
  • Parental leave
  • Education reimbursement
  • Employee Resource Groups
  • Volunteer time off

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