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Machine Learning Engineer

Watney Robotics· Engineering
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San FranciscoFull-timePosted 1mo ago

About the role

ML engineer role focused on turning data from a live fleet of robots into better models, spanning perception, decision, and action components; involves running training experiments, data curation/labeling, and evaluating model performance on real fleet deployments.

Responsibilities

  • Run and evaluate training experiments as we scale our models.
  • Curate and clean the data those experiments train on.
  • Help evolve how we label and structure new data.
  • Track the metrics that separate a model that helps from one that doesn't.
  • Work with Teleoperations to understand and improve the data at its source.

Qualifications

  • Have trained models on real-world data pulled from actual operation.
  • Have worked with imitation learning, reinforcement learning, or a similar method for control.
  • Write production ML code (Python, PyTorch, etc).
  • Are comfortable cleaning and curating messy, real-world data.

Skills

Required:Real-world data modelingImitation learning / reinforcement learningProduction ML coding
Last updated Sep 19, 2026. Interested? Apply on the company site.

About Watney Robotics

Watney develops autonomous robotics systems to operate datacenter and supercomputing infrastructure.

Autonomous Physical Infrastructure

autonomous roboticsdatacentersupercomputinginfrastructurehyperscalerscompute scaling
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