Machine Learning Engineer - Vision

Hadrian AutomationTorrance, CA
$160,000 - $250,000

About The Position

Hadrian is building autonomous factories to accelerate manufacturing for aerospace and defense companies. We are expanding rapidly with new facilities and business lines, backed by leading investors. The Role is within the Copilot system, which automates Design for Manufacturing (DFM) analysis and generates manufacturing processes. Our team owns problems end-to-end, from software design to factory execution, spanning computational geometry, CAD/CAM integrations, high-performance systems, and full-stack web tooling. The DFM team specifically focuses on building the manufacturing data intelligence layer, ingesting and interpreting manufacturing data (drawings, documentation, CAD) to create structured, actionable information for the factory. As a Senior Machine Learning Engineer on this team, you will own the ML lifecycle for core detection and segmentation models within this pipeline.

Requirements

  • 5-8 years of professional experience building and shipping computer vision models, with an emphasis on detection and/or segmentation
  • Deep expertise in modern architectures using transformer backbones (ViT, Swin, etc…)
  • Strong Python and PyTorch fluency: You've written custom training loops, loss functions, and data loaders from scratch when needed
  • Production deployment ownership: You've shipped models to production and have been responsible for endpoint and model health
  • MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally
  • Must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State due to ITAR requirements.

Nice To Haves

  • A passion for manufacturing and belief that the industry needs better software
  • Prior experience working in aerospace, defense, or manufacturing, and have experience working with manufacturing data
  • Published research, achieved SOA results on relevant benchmarks, or contribute to open-source frameworks
  • Prior experience working in a high-ownership startup environment

Responsibilities

  • Research, develop, and deploy cutting-edge object detection and segmentation models for layout analysis, document understanding, and semantic part understanding
  • Work alongside the core engineering team to build and maintain annotation tooling, implement active learning loops, and engineer synthetic data augmentation strategies
  • Develop evaluation frameworks to capture metrics that extend beyond mAP/IoU, precisely quantifying system behavior and user impact
  • Collaborate with the other members of the machine learning team to set the technical and product roadmaps for the AI platform
  • Burn down the long tail, as every percentage point of accuracy maps to man-years of time savings at our scale

Benefits

  • Medical, dental, vision, and life insurance plans for employees
  • 401k
  • Relocation support may be provided for certain situations, based on business need.
  • Flexible vacation policy
  • Equity
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