2027 Summer Intern, PhD, Planner Machine Learning

Posted

WaymoSan Francisco, CaliforniaHybridinternshipintern

$176,800 USD

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Research, design, and implement novel deep learning architecture, multi-task loss formulations, and preference/ranking objectives in Python and JAX
  • Train and diagnose large-scale neural networks using distributed TPU infrastructure, analyzing training dynamics, gradient conditioning, and representation quality
  • Evaluate trained models across open-loop and closed-loop benchmarks, triaging real-world driving scenarios to connect mathematical modeling choices with physical vehicle behavior

Soft Skills

Deep LearningMachine LearningMotion PlanningRoboticsOptimization

Benefits

  • Hybrid Work

Culture

Hybrid WorkCross-Functional Teams

Requirements

Required: Ph.D. in Machine Learning or a related quantitative field
Regions: Us

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