AI Machine Learning Engineer
About The Position
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.
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 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
Nice To Haves
- 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
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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
