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AI Machine Learning Engineer

exoanalytic.com Logo

ExoAnalytic Solutions

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Location:
United States , Huntsville ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

115000.00 - 190000.00 USD / Year
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Job Description:

ExoAnalytic Solutions develops advanced algorithms, AI/ML solutions, and software tools for modeling, simulation, sensing, and decision support across space and missile defense systems. We are a recognized leader in algorithm development and applied artificial intelligence, delivering technically rigorous solutions to problems of national importance. ExoAnalytic Solutions is seeking an AI Machine Learning Engineer – Space & Missile Defense to join a multidisciplinary team developing advanced machine learning–driven capabilities for sensing, tracking, decision-making, and battle management. This role focuses on the design, development, integration, and evaluation of AI/ML algorithms within modeling, simulation, and operational decision-support environments. The ideal candidate is comfortable working at the intersection of AI/ML, algorithms, and complex physical systems, and enjoys translating operational challenges into deployable AI-enabled solutions.

Job Responsibility:

  • Design, develop, and evaluate AI/ML algorithms for space and missile defense applications, including sensing, tracking, classification, prediction, and decision-making
  • Implement machine learning solutions within modeling and simulation environments, analytical tools, and prototype operational systems
  • Develop and train models using supervised, unsupervised, and reinforcement learning techniques
  • Integrate AI/ML components with physics-based models, simulations, and system-level architectures
  • Analyze AI/ML performance, limitations, uncertainty, and robustness in operationally relevant scenarios
  • Collaborate with systems engineers, analysts, and domain experts to translate mission needs into AI/ML-driven solutions
  • Support experimentation, test campaigns, and algorithm trade studies using simulated and real-world data
  • Document algorithms, assumptions, data requirements, and performance results for technical and non-technical stakeholders
  • Contribute to technical planning, architecture decisions, and proposal development as needed
  • Manage individual tasks and deliverables while contributing to team-level technical decision-making

Requirements:

  • Strong foundation in machine learning and artificial intelligence concepts, including model development, training, validation, and evaluation
  • Proficiency in Python for AI/ML development
  • Experience with modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar)
  • Demonstrated experience developing, implementing, or integrating AI/ML algorithms into software systems or simulations
  • Understanding of data preprocessing, feature engineering, model evaluation, and performance metrics
  • Experience using version control systems (e.g., Git) in a collaborative development environment
  • Ability to reason about algorithm tradeoffs, assumptions, uncertainty, and failure modes
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences
  • Eligibility to obtain a Secret clearance
  • Excellent written, oral, and interpersonal communication skills
  • Working proficiency in verbal and written English

Nice to have:

  • Active Secret or Top-Secret clearance
  • Advanced degree (M.S. or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Engineering, Physics, Mathematics, or a related field
  • Experience in aerospace, defense, missile defense, space systems, or national security applications
  • Experience with reinforcement learning, multi-agent systems, or decision-theoretic methods
  • Experience integrating AI/ML with modeling & simulation, digital twins, or physics-based environments
  • Familiarity with sensor-related AI/ML applications (e.g., EO/IR or RF detection, tracking, fusion, and classification)
  • Experience with uncertainty quantification, probabilistic modeling, or statistical inference
  • Experience with high-performance computing, GPU acceleration, or large-scale training workflows
  • Familiarity with containerization, reproducible ML pipelines, or MLOps concepts
  • Experience supporting algorithm-heavy systems such as battle management, autonomy, decision aids, or command-and-control tools
What we offer:
  • Company-paid medical, vision, and dental coverage
  • 401(k) Retirement Plan with a 6% company contribution (no employee match required)
  • Ample paid personal time off, including holidays
  • Short- and long-term disability insurance and life insurance
  • Additional discounts and perks to support your well-being
  • Flexible scheduling and structured freedom that empower innovation and work-life balance

Additional Information:

Job Posted:
January 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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