GERRA
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EngineeringSan Francisco, CA

MACHINE LEARNING ENGINEER

Build ML systems that process, validate, and enhance training data for physical AI at unprecedented scale.

COMPENSATION
$210K - $300K
+ 0.15% - 0.45% EQUITY
ABOUT THE ROLE

Training data quality is the bottleneck for physical AI. We are building ML systems that automatically process, validate, and enhance robotics datasets at massive scale.

You will work on problems at the intersection of computer vision, robotics, and large-scale ML infrastructure. Your work will directly impact how quickly the world's best robotics teams can train and deploy their models.

WHAT YOU WILL DO
  • Build ML pipelines for automated data quality assessment and filtering
  • Develop computer vision systems for pose estimation, object detection, and scene understanding
  • Create synthetic data generation pipelines to augment real-world datasets
  • Optimize ML inference for real-time processing of multi-modal sensor data
  • Design evaluation frameworks to measure data quality and model performance
  • Collaborate with customers to understand their ML training requirements
WHAT WE ARE LOOKING FOR
  • 4+ years of experience in ML engineering or applied research
  • Strong background in computer vision (pose estimation, detection, segmentation)
  • Experience deploying ML models to production at scale
  • Proficiency in Python and PyTorch or TensorFlow
  • Familiarity with ML infrastructure (training pipelines, model serving, GPUs)
  • Strong software engineering fundamentals
NICE TO HAVE
  • Experience with robotics, embodied AI, or imitation learning
  • Publications in top ML/CV venues
  • Experience with 3D vision or multi-modal learning
  • Background in video understanding or temporal models
BENEFITS
  • Competitive salary at the top of market
  • Substantial equity grants with regular refresh
  • Comprehensive health, dental, and vision coverage
  • Unlimited PTO with genuine expectation to use it
  • Home office budget and top-tier equipment
  • Weekly team dinners and quarterly offsites

READY TO APPLY?

We review every application personally and will be in touch if there is a good fit.

Questions about this role?
careers@gerra.com