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AI Machine Learning Engineer
AI Machine Learning EngineerExoAnalytic Solutions • Arlington, VA, US
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AI Machine Learning Engineer

AI Machine Learning Engineer

ExoAnalytic Solutions • Arlington, VA, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

AI Machine Learning Engineer

Full-Time | On-Site or Hybrid (No Remote)

  • Location: Huntsville, AL; Foothill Ranch, CA; Arlington, VA; Colorado Springs, CO
  • Citizenship: United States citizenship required
  • Security Clearance: An existing Secret security clearance is a preferred but not required; all offers are contingent upon the ability to obtain and maintain a U.S. government security clearance

ABOUT EXOANALYTIC SOLUTIONS

ExoAnalytic Solutions is a defense technology company developing cutting-edge sensor signal processing, algorithms, modeling, simulation, and analytics tools to support mission-critical defense and space systems. Our software and sensor technologies enhance the missile and space defense domains and enable faster, data-driven decision-making for national defense.

As an employee-owned company, we combine deep technical expertise with a culture of innovation, autonomy, and shared success. Our engineers work at solving problems of global importance.


ABOUT THE ROLE

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.

This position is well suited for engineers who want to apply modern AI/ML techniques—such as deep learning, reinforcement learning, probabilistic reasoning, and multi-agent systems—to real-world aerospace and defense problems, while collaborating closely with systems engineers, analysts, and domain experts.


KEY RESPONSIBILITIES

  • 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

MINIMUM QUALIFICATIONS

  • 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 C++ or similar languages is a plus
  • 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

PREFERRED QUALIFICATIONS

  • 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

SALARY RANGE

$115,000 - $190,000+ annually.

Actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and years of experience. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.


BENEFITS AND CULTURE

ExoAnalytic Solutions is a technology and innovation leader providing world-class products and services to the U.S. federal government and commercial customers worldwide. As an employee-owned company, a competitive salary is only one part of your total rewards package.

Our comprehensive benefits include:

  • 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

Apply today to become an ExoNaut today!


EQUAL EMPLOYMENT OPPORTUNITY

ExoAnalytic Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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AI Machine Learning Engineer • Arlington, VA, US

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