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5 дней назад

Sr. Autonomous Manufacturing Systems Engineer (AI/ML Ops)

197 529 - 276 539$
Тип работы
fulltime
Грейд
senior
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
Sr. Autonomous Manufacturing Systems Engineer (AI/ML Ops): Building and deploying scalable machine learning infrastructure and automated pipelines for manufacturing automation systems with an accent on model deployment, edge integration, monitoring, and production reliability. Focus on optimizing vision and time-series models, integrating AI with industrial automation hardware, and scaling secure inference systems for safe human spaceflight manufacturing.

Location: Bay Area, California, United States

Base pay for California applicants: $197,529.00–$276,539.55 per year.

Company

hirify.global develops reusable, safe, and low-cost space vehicles and systems while advancing manufacturing automation for spaceflight.

What you will do

  • Develop and implement strategies for deploying machine learning models into manufacturing automation products.
  • Build and maintain infrastructure for data processing, model training, and large-scale inference.
  • Automate end-to-end machine learning pipelines from data collection and preprocessing through deployment and monitoring.
  • Set up production monitoring, incident response, troubleshooting, performance tuning, and model optimization.
  • Evaluate and integrate tools such as MLflow, Kubeflow, and TensorFlow Extended.
  • Collaborate with data scientists, data engineers, software engineers, and automation teams to incorporate AI/ML into manufacturing systems.

Requirements

  • Bachelor’s degree or higher in Computer Science, Software Engineering, Mechanical Engineering, or a related field.
  • 8+ years of professional software development experience, including real-world machine learning deployments using vision and/or time-series data.
  • Extensive experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or similar technologies.
  • Experience with manufacturing automation, robotics, PLCs, automated NDT, or machine vision.
  • Experience with AI edge deployments, OT device integration, serverless computing, and SQL or NoSQL databases.
  • Must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted refugee or asylee.

Nice to have

  • Experience with agile and scrum software development environments.
  • Strong analytical, problem-solving, written communication, and cross-functional collaboration skills.

Culture & Benefits

  • Safety, collaboration, inclusion, and continual improvement are emphasized.
  • Medical, dental, vision, life insurance, disability coverage, and paid parental leave.
  • 401(k) with company matching of up to 5%.
  • Education Support Program, stock options for regular employees working at least 20 hours per week, and up to four weeks of paid time off.
  • Up to 14 company-paid holidays.

Hiring process

  • A standard background check is required for all positions.
  • Additional background checks may apply if the role requires access to a military installation.

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