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2 часа назад

Machine Learning Engineer (Manufacturing)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer (Manufacturing): Training and deploying custom machine learning models for design generation, cost estimation, manufacturing difficulty prediction, and structured data extraction with an accent on geometric, spatial, and parameter-rich datasets. Focus on building advanced object-detection and geometry-based models, developing data pipelines from engineering documents, and integrating model performance into internal manufacturing tools.

Location: On-site in Huntington Beach, California, United States

Company

Develops proprietary software, automation, and advanced manufacturing systems that reduce manufacturing lead times for aerospace, defense, robotics, and other customers.

What you will do

  • Train and iterate on custom machine learning models using internal manufacturing and design data.
  • Build models for cost estimation and prediction of design complexity or manufacturing difficulty from part geometry.
  • Develop models that generate or assist in generating new designs from historical design data.
  • Build pipelines that extract structured specifications, dimensions, material callouts, and related data from engineering documents and drawings.
  • Select modeling approaches for geometric, spatial, and other structured data, and collaborate with engineering and manufacturing teams to source, clean, and label datasets.
  • Own model performance from data pipelines and training through evaluation and deployment into internal tools.

Requirements

  • Experience training custom models beyond basic labeling or fine-tuning workflows.
  • Experience with advanced object detection; data classification experience is beneficial.
  • Experience working with large, parameter-rich datasets.
  • Strong fit for experience with structured, spatial, or geometric data rather than primarily natural-language or LLM-centric problems.
  • Must satisfy U.S. ITAR eligibility requirements: U.S. citizen or national, lawful permanent resident, refugee, asylee, or eligible to obtain the required U.S. Department of State authorizations.

Nice to have

  • Geometry-specific model training experience.
  • CAD experience.
  • Manufacturing experience.

Culture & Benefits

  • Full medical, dental, and vision coverage.
  • Short- and long-term disability insurance and company-paid life insurance.
  • Equity option grants.
  • 401(k) plan.
  • Unlimited paid time off and nine federal holidays.

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