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2027 Internship Behavior Machine Learning Engineer, World Models

Bedrock Robotics· Engineering
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San Francisco, CAInternPosted 1mo ago

About the role

Internship role on the Behavior ML team focused on building world models to enable autonomous machines to reason about near-future scenarios on construction sites. Train models on real fleet data, run architecture explorations, build evaluation metrics, and connect model outputs to planning and control on real excavators.

Responsibilities

  • Train and evaluate world models on real fleet data collected from autonomous machines in the field
  • Run architecture explorations and ablations, and make a defensible case for what's actually working
  • Build evaluation harnesses and metrics that tell us whether a model is genuinely better
  • Partner with the behavior and controls teams to connect model outputs to planning and control
  • Present your findings and provide a solid foundation for the team to build upon

Qualifications

  • Currently pursuing a BS, MS, or PhD in computer science, machine learning, robotics, or a related field — or bringing equivalent research or industry experience
  • Strong Python and hands-on experience training models in PyTorch (or equivalent)
  • Ability to read a paper and turn it into a working implementation
  • Comfort with messy, real-world data — this is not a curated benchmark
  • Sound experimental judgment understanding the difference between a real result and noise

Skills

Required:PythonPyTorchModel TrainingExperimentation
Last updated Oct 15, 2026. Interested? Apply on the company site.
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About Bedrock Robotics

Advanced Autonomy for the Built World

Advanced Autonomy for the Built World

AutonomyBedrock Operatorautonomyheavy machineryindustrial automationindustrial roboticsmachine intelligenceon-site autonomy
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