Machine Learning Engineer Training & Simulation Systems 28036

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) Systema shipboard combat system trainer that enhances U.S. Navy operational readiness. This fulltime onsite role is part of a highperforming engineering team delivering missiondriven solutions that improve warfighter training and decisionmaking.

In this role you will help integrate machinelearning and datadriven capabilities that elevate the realism adaptability and performance of nextgeneration combat system training environments.

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 handson work with highfidelity simulation systems realworld 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 crossfunctional engineering teams
• Design develop and deploy machine learning models supporting simulation accuracy data analytics performance prediction and systembehavior modeling
• Build data pipelines for collection preprocessing labeling and training using structured and unstructured Navy training data
• Integrate ML models into Linuxbased 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 dataflow documentation model cards evaluation reports and code commentary
• Conduct developer testing in lab environments and aboard ship when required
• Provide occasional onsite support for installations model validation and user evaluations (up to 10% travel)
• Perform additional related duties as assigned to support project and organizational needs

What you must have

Required Education & Experience

Required Knowledge & Skills

• Experience developing and deploying machine learning models using Python frameworks such as PyTorch TensorFlow or Scikitlearn
• Handson experience with Linuxbased development environments
• Familiarity with Agile/Scrum methodologies
• Experience implementing data pipelines feature engineering and modeltraining/evaluation workflows
• Ability to troubleshoot complex software data or modelrelated issues

Required Credentials

• Ability to otain a DoD Information Assurance Technician (IAT) Level II certification or higher (e.g. Security CE CCNA Security CySA) within 3 months 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 Level II certification or higher (e.g. Security CE CCNA Security CySA)
• Experience with highfidelity training systems simulation environments or Navy combat systems
• Experience deploying ML models in operational or realtime systems (e.g. REST APIs message queues embedded inference)
• Familiarity with ActiveMQ messaging systems or streamingdata 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.