Machine Learning Engineer - Training & Simulation Systems - 28036

Company Overview HII Mission Technologies’ Global Security (GS) group comprises live, virtual, constructive (LVC) solutions; fleet sustainment; nuclear and environmental; and Australia business. As a trusted partner to our military customers, HII designs, develops and operates the largest LVC enterprise that prepares warfighters for cross‑domain battle. Summary HII Mission Technologies is seeking a Machine Learning Engineer to support the design, development, and deployment of advanced training and simulation capabilities within the Advanced Training Domain (ATD) System—a shipboard combat system trainer that enhances U.S. Navy operational readiness. This full‑time, on‑site role is part of a high‑performing engineering team delivering mission‑driven solutions that improve warfighter training and decision‑making. 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 solve operationally relevant challenges Grow your skills through hands‑on work with high‑fidelity simulation systems, real‑world training data, and modern ML/AI toolchains Contribute to innovations that shape future combat system training platforms Key Job Responsibilities Participate in Agile sprint planning and execution across cross‑functional engineering teams Design, develop, and deploy machine learning models supporting 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 Develop supporting documentation such as architecture diagrams, data‑flow documentation, model cards, evaluation reports, and code commentary Conduct developer testing in lab environments and aboard ship when required Provide occasional on‑site support for installations, model validation, and user evaluations (up to 10% travel) Perform additional related duties as assigned to support project and organizational needs Required Education & Experience 2years of relevant experience with a Bachelor’s degree in a related field 0years of experience with a Master’s degree in a related field High school diploma or equivalent and 6years of relevant experience Required Knowledge & Skills Experience developing and deploying machine learning models using 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 software, data, or model‑related issues Required Credentials Ability to obtain a DoD Information Assurance Technician (IAT) LevelII certification or higher (e.g., Security+, CCNA Security, CySA+) within3months of hire if not currently held Must be a U.S. Citizen Must hold a current or active DoD Secret clearance Preferred Requirements Degree in Computer Science, Data Science, ML/AI, Engineering, or related technical field IAT LevelII certification or higher (e.g., Security+, 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 (e.g., 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. Salary The listed salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, HII's Mission Technologies division takes a variety of factors into consideration which include, but are not limited to, the role's function and a candidate's education or training, work experience, and key skills. Benefits HII offers competitive benefits such as 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; and early childhood and post‑secondary education scholarships. Equal Opportunity Statement 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. Reasonable Accommodation If you need a reasonable accommodation for any part of the employment process, please send an e‑mail to View email address on click.appcast.io and let us know the nature of your request and your contact information. Reasonable accommodations are considered on a case‑by‑case basis. You may also call1‑844‑849‑8463 for assistance. #J-18808-Ljbffr Mission Technologies, a division of HII