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Machine Learning Engineer - COBRA

HII

Up to $163,762
Aug 1, 2025
Fort Meade, MD, US
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HII's Mission Technologies division partners with the DoD and defense innovation ecosystem to rapidly acquire and field critical and emerging technologies, particularly integrated communications, networking, and Systems-of-Systems (SoS) technologies, to enhance national security and warfighter capabilities.

Requirements

  • Strong understanding of system development lifecycle (SDLC)
  • Ability to analyze complex technical problems and propose effective solutions
  • Experience with DoD systems and acquisition lifecycle
  • Proficiency with systems modeling or simulation tools
  • Familiarity with Agile development methodologies
  • Strong knowledge of software systems, AI, Deep Learning, design methods, and system-of-systems architectures.
  • Understands supporting technologies, including cloud computing, containerization (for deployment), parallelization (for training), databases (for training data), and Git (for code management).

Responsibilities

  • Supports innovative research and technology development using deep understanding of AI and ML technologies in accordance with relevant DoD policies, DoDI 5000.88, and DoD AI Ethical Principles.
  • Creates data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets.
  • Researches, designs, and develops advanced AI; develops advanced solutions at the intersection of AI and data science.
  • Applies AI/ML techniques to improve existing and newly developed algorithms.
  • Provides analysis, requirements and algorithm design, implementation, integration, verification, and maintenance of AI software systems.
  • Collaborates across multi-functional teams to identify opportunities for improving the IT services enterprise.
  • Integrates AI engine/techniques with Modeling and Simulation applications.

Other

  • Must possess an active Secret clearance.
  • Required Travel: 0 - 10%
  • Bachelor’s degree in Engineering, Computer Science, or related field
  • Ability to self-manage and pace responsibilities to ensure completion of activities in a timely manner.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.