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Machine Learning Engineer (LLMs

Job in Torrance, Los Angeles County, California, 90504, USA
Listing for: Hadrian
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 160000 - 210000 USD Yearly USD 160000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Machine Learning Engineer (LLMs)
  • Copilot is our system for automating Design for Manufacturing (DFM) analysis and generating manufacturing processes
  • We work directly with some of the best operators in the world to identify high-impact opportunities to automate and augment with software
  • Our team owns problems end-to-end: we design the software, define the manufacturing processes, and ensure they can be executed reliably in our factories
  • The work spans computational geometry, CAD/CAM integrations, high-performance systems, and full-stack web tooling
  • We execute whatever is required to deliver a working solution and best serve our users
  • The DFM team within copilot is building the manufacturing data intelligence layer that serves as the tip of the spear for our automation stack
  • This platform ingests, interprets, and reasons over the full spectrum of manufacturing data (mechanical drawings, quality documentation, CAD data) and transforms it into structured, actionable information for the factory
  • As a Senior Machine Learning Engineer, you will own the ML lifecycle for the language models that understand and reason about the content in manufacturing data packages
  • Research, develop, and deploy fine‑tuned language models for document classification, key information extraction, table parsing, and multi‑page/document reasoning
  • 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 that extend beyond accuracy and CER, 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
  • 100% coverage of platinum medical, dental, vision, and life insurance plans for employees
    401k
  • Relocation stipend if you’re moving from outside of LA
  • Flexible vacation policy
  • MS or PhD in Computer Science, Electrical Engineering, or related field preferred; equivalent industry experience valued equally

    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
  • 5-8 years of professional AI/ML experience, with at least 2 years working directly with large language models (fine‑tuning, RLHF/DPO, or pre‑training), with special consideration for work with layout‑aware models
  • You have a passion for manufacturing and believe that the industry needs better software
  • Previously worked 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
  • To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you 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. Learn more about the ITAR here
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