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Hadrian

Machine Learning Engineer

Los Angeles, CAFrom $160kfulltimemidAdded 1 month ago

About this role

Hadrian seeks a Senior Machine Learning Engineer to develop advanced DFM (Design for Manufacturing) software that automates aerospace and defense manufacturing processes. You'll build and deploy deep learning models for document understanding and computer vision to accelerate precision manufacturing in an innovative, fast-growing company.

What you'll do

  • Research, develop, and deploy deep learning models including OCR, vision-language, and detection systems for manufacturing applications
  • Collaborate with engineering teams and operators to refine models and identify high-impact automation opportunities
  • Build end-to-end ML systems covering data pipelines, training, inference, labeling, and evaluation infrastructure
  • Integrate open-source solutions with novel research to create production-grade vision systems
  • Work across the complete machine learning lifecycle from conception to deployment

What they're looking for

  • Deep learning and computer vision (5+ years)
  • Python and OpenCV
  • PyTorch or TensorFlow
  • SQL and data pipeline development
  • Detection and segmentation models
  • Web frameworks (FastAPI, Express, TypeScript/JavaScript)
  • Cloud infrastructure and distributed training
  • CAD/CAM data handling

Benefits

  • Competitive salary: $160,000 - $250,000
  • Work on cutting-edge manufacturing automation technology
  • Join backed by top-tier investors (Andreessen Horowitz, Founders Fund, Lux Capital)
  • Opportunity to impact aerospace and defense manufacturing at scale
  • Growing company with rapid expansion (Factory 3 launching in Mesa with 350+ new jobs)
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Hadrian

Hadrian builds aerospace and defense manufacturing systems, offering enterprise software platforms, advanced tooling design, and highly automated production capabilities for the sector. The company is hiring full stack engineers, manufacturing and tooling specialists, infrastructure and identity management experts, and workforce systems architects to support its rapid scaling.

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Likely interview questions

  • Walk us through a computer vision or detection/segmentation project you owned end-to-end—from data collection through production deployment. What were the key challenges?
  • Describe your experience with OCR, document understanding, or layout analysis models. How did you evaluate performance and handle edge cases?
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