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Software Engineer (Machine Learning)

110 000 - 150 000$
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
Software Engineer (Machine Learning): Developing machine learning algorithms, modeling and simulation systems, and high-performance software for Department of Defense and Intelligence Community partners with an accent on scientific analysis, communications-network modeling, and data pipelines. Focus on integrating modeling and simulation capabilities into defense platforms, building testing and benchmarking tools, and delivering full-lifecycle C++/Java and Python/R solutions.

Location: Dahlgren, Virginia, United States

Salary: $110,000–$150,000 per year

Company

hirify.global is a 100% employee-owned defense technology company supporting national security, Department of Defense, and Intelligence Community missions.

What you will do

  • Research, develop, and deploy machine learning algorithms for software and hardware applications.
  • Design and optimize systems using scientific analysis and mathematical modeling.
  • Analyze complex datasets and develop high-performance software solutions.
  • Build tools for software testing, validation, and performance benchmarking.
  • Collaborate with software engineers, data scientists, and operations research analysts to integrate modeling and simulation capabilities into DoD platforms.

Requirements

  • Active TS/SCI security clearance required.
  • Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related field, including at least 30 semester hours in mathematics, statistics, and computer science.
  • At least four years of experience designing and developing software for constructive simulation systems such as AFSIM, ITASE, or NGTS.
  • Full-lifecycle software development experience covering prototyping, architecture, agile development, testing, and deployment.
  • Experience modeling communications networks and building data pipeline tools for extraction, transformation, and aggregation.
  • Strong proficiency in C++ and/or Java, with scripting experience in Python or R; familiarity with full-stack development, CI/CD, scientific computing, Docker, Kubernetes, and regression testing.

Nice to have

  • Experience with containerization and virtualization platforms such as Docker and WSL2.
  • Proficiency with Visual Studio, Visual Studio Code, or PyCharm.
  • Familiarity with Department of Defense security, compliance, and secure software development practices.

Culture & Benefits

  • 100% employee-owned company with an emphasis on innovation, ownership, and collaboration.
  • Health, dental, vision, and life insurance.
  • 401(k) plan and educational reimbursement.
  • Supportive and dynamic work environment.

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