Machine Learning Engineer - Training & Simulation Systems (Engineer Machine Learning 2)

HII Mission Technologies is seeking a full-time, on-site Machine Learning Engineer to build training and simulation capabilities for the Advanced Training Domain (ATD) System supporting U.S. Navy operational readiness.

Responsibilities

• Participate in Agile sprint planning and execution with cross-functional engineering teams
• Design, develop, and deploy machine learning models for simulation accuracy, data analytics, performance prediction, and system-behavior modeling
• Build data pipelines for collection, preprocessing, labeling, and training using structured and unstructured Navy training data
• Integrate ML models into Linux-based training systems using containers, APIs, or embedded inference engines
• Troubleshoot, optimize, and maintain ML workflows, including performance tuning, error analysis, and model explainability
• Produce supporting documentation including architecture diagrams, data-flow documentation, model cards, evaluation reports, and code commentary
• Perform developer testing in lab environments and aboard ship when required
• Provide occasional on-site support for installations, model validation, and user evaluations (travel up to 10%)
• Complete additional related duties as assigned to support project and organizational needs

Requirements

• 2+ years of relevant experience with a Bachelor’s degree in a related field, OR
• 0 years of experience with a Master’s degree in a related field, OR
• High school diploma or equivalent plus 6 years of relevant experience
• Experience developing and deploying ML models with Python frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Hands-on experience with Linux-based development environments
• Familiarity with Agile/Scrum methodologies
• Experience implementing data pipelines, feature engineering, and model training/evaluation workflows
• Ability to troubleshoot complex issues across software, data, and model components
• Obtain a DoD Information Assurance Technician (IAT) Level II certification or higher (example: Security+ CE, CCNA Security, CySA+) within 3 months of hire if not currently held
• U.S. Citizen
• Must hold an active or current DoD Secret clearance

Technologies

• Python, PyTorch, TensorFlow, Scikit-learn
• Linux
• Agile, Scrum
• Security+ CE, CCNA Security, CySA+
• Containers, APIs, embedded inference engines

Benefits

• Best-in-class medical, dental, and vision plan choices
• Wellness resources
• Employee Assistance Programs
• Savings Plan Options (401(k))
• Financial planning tools
• Life insurance
• Employee discounts
• Paid holidays and paid time off
• Tuition reimbursement
• Early childhood and post-secondary education scholarships

Impact, Growth & Development

• Strengthen U.S. Navy readiness by engineering ML solutions that improve training fidelity and system performance
• Collaborate with software engineers, data engineers, analysts, and end users to address operational challenges
• Build skills through hands-on work with high-fidelity simulation systems, real-world training data, and modern ML/AI toolchains
• Contribute to innovations shaping future combat system training platforms

Preferred Requirements

• Degree in Computer Science, Data Science, ML/AI, Engineering, or a related technical field
• IAT Level II certification or higher (example: Security+ CE, CCNA Security, CySA+)
• Experience with high-fidelity training systems, simulation environments, or Navy combat systems
• Experience deploying ML models in operational or real-time systems (example: REST APIs, message queues, embedded inference)
• Familiarity with ActiveMQ, messaging systems, or streaming-data frameworks
• Experience with MLOps tools such as GitLab CI/CD, Docker, Podman, Kubernetes, or virtualization technologies
• Background in data analysis for mission systems, sensor data, or tactical environments
• Experience with Jira, Git, or Subversion

Physical Qualifications

• May require working in an office, industrial, shipboard, or laboratory environment
• Must be capable of climbing ladders and tolerating confined spaces and a range of temperature conditions during shipboard or testing activities

Required Travel

• 0 - 10%

Role Details

• Location: Virginia Beach, VA (on-site)
• Employment type: Full Time / Salaried / Exempt
• Level: Mid
• Anticipated salary range: $95,004 - $122,000 per year
• Security clearance: Secret
• Technology focus: Training and simulation systems using ML and data-driven capabilities for the ATD System