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6 дней назад

Manufacturing AI/ML Engineer

135 000 - 220 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
Manufacturing AI/ML Engineer (AI/ML, Additive Manufacturing): Building monitoring, analytics, and machine-learning systems for autonomous manufacturing factories with an accent on build-quality prediction, anomaly detection, and process optimization. Focus on developing production models, applying statistical process control, validating outputs against physical processes, and integrating predictions into manufacturing workflows.

Location: On-site in Torrance, California, with travel of up to 15%.

Salary: $135,000–$220,000 per year, plus equity.

Company

hirify.global builds autonomous factories that combine AI, advanced software, robotics, and full-stack manufacturing for aerospace, defense, and other mission-critical products.

What you will do

  • Own the monitoring, analytics, and curated data layers for the additive manufacturing machine fleet.
  • Develop and deploy AI/ML models for build-quality prediction, process-anomaly detection, and parameter optimization.
  • Build feature engineering, labeling, data-quality, model-versioning, and production-performance infrastructure.
  • Create process-monitoring dashboards and AI-driven alerts, integrating model outputs into OPUS and manufacturing workflows.
  • Apply statistical process control, establish control limits, and support machine and process qualification analyses.
  • Lead structured investigations of process escapes and build anomalies using 8D, 5 Whys, and fishbone analysis.

Requirements

  • Bachelor’s degree in Manufacturing Engineering, Computer Science, Data Science, Materials Science, or a related field.
  • 4+ years of experience in manufacturing data systems, process engineering, or data-driven manufacturing in a production environment.
  • Hands-on experience training, validating, and deploying AI/ML models in engineering or manufacturing.
  • Proficiency in Python, relevant ML frameworks such as scikit-learn, TensorFlow, or PyTorch, and SQL.
  • Experience building analytical datasets from structured and time-series manufacturing data, including gaps, resampling, and data-quality issues.
  • Must work on-site full time in Torrance, California and qualify as a U.S. person for ITAR purposes.

Nice to have

  • Experience applying AI/ML to metal additive manufacturing, including build-quality prediction, anomaly detection, melt-pool monitoring, or process-parameter optimization.
  • Experience with in-situ monitoring data such as layer imaging, thermal sensing, acoustic emissions, or scanner telemetry.
  • Experience supporting aerospace, defense, or regulated manufacturing qualification data packages.
  • Familiarity with AMS7032, NIAR/NCAMP, U.S. Navy additive-manufacturing qualification, MLOps, or closed-loop process control.

Culture & Benefits

  • Medical, dental, vision, and life insurance plans.
  • 401(k) plan.
  • Flexible vacation policy.
  • Equity participation.
  • Relocation support may be provided in certain situations based on business need.

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