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1 день назад

Machine Learning Engineer (TS/SCI)

116 000 - 154 000$
Формат работы
onsite
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
Machine Learning Engineer (TS/SCI) (AI/ML and Computer Vision): Developing and operationalizing scalable AI/ML, computer vision, and Automatic Target Recognition solutions for large-scale geospatial and multi-INT data with an accent on model development, MLOps, and mission-focused analytics. Focus on designing reproducible model lifecycles, deploying computer vision pipelines, and transforming complex datasets into actionable intelligence.

Location: Herndon, VA; onsite. U.S. citizenship and an active U.S. Government TS/SCI clearance are required.

Base pay within the Washington, DC metropolitan area: $116,000–$154,000–$169,400 annually.

Company

hirify.global develops spatial intelligence capabilities that help decision makers and operators understand current conditions and plan for future missions.

What you will do

  • Design, implement, and evaluate machine learning solutions using multi-INT data.
  • Develop MLOps pipelines for continuous integration and deployment of computer vision models.
  • Collaborate with engineers, clients, and users across multidisciplinary AI/ML teams.
  • Develop analytics and derivative data products that help users extract meaningful knowledge.
  • Apply version control, model reproducibility, and governance best practices.

Requirements

  • U.S. citizenship and a current TS/SCI clearance are required; willingness to obtain a CI Polygraph is required.
  • 5+ years of programming experience with at least one general-purpose language, including Python, TypeScript, Java, C, or C++.
  • B.S. degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Physics, or a related field.
  • Proficiency with the Python data science and AI/ML stack, including PyTorch, TensorFlow, NumPy, pandas, Matplotlib, and scikit-learn, plus geospatial libraries such as GDAL, GeoPandas, and Shapely, or equivalent.
  • Experience extracting, manipulating, visualizing, and analyzing large datasets.
  • Strong understanding of machine learning principles and model lifecycle management.
  • Strong problem-solving skills, adaptability, and ability to use emerging technologies to address mission challenges.

Nice to have

  • Experience designing, developing, testing, and deploying AI/ML or computer vision models across diverse data types.
  • Experience designing and deploying AI-native software products that transform large-scale geospatial data into actionable intelligence.
  • Software development experience covering design, development, and implementation.
  • Experience with Docker, Kubernetes, cloud or hybrid environments, modern software development tools, DevSecOps, and CI/CD pipelines.
  • Proficiency in Linux-based environments and a multiparadigm language such as Python, Java, Go, or Rust.
  • Ability to work in a fast-paced environment, manage multiple priorities, and troubleshoot proactively.

Culture & Benefits

  • Full-time role within a multidisciplinary R&D program focused on advancing AI/ML and computer vision capabilities.
  • Benefits include a 401(k) with company match, mental health resources, student loan repayment assistance, adoption reimbursement, and pet insurance.
  • Employment for cleared roles is contingent on verification of clearance status.
  • The application window is three days from posting or reposting and remains open until a qualified candidate is identified.

Hiring process

  • Submit an application through hirify.global's Career page.
  • Applicants without the required active clearance are not eligible for consideration.

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