ML Engineer, High-Fidelity Training Simulations

HII; Virginia Beach (VA); On-site; USD 95,000 - 122,000; Full time

Benefits offered by this job

Medical, dental, and vision plans

401(k)

Tuition reimbursement

Paid holidays and PTO

Job summary

HII Mission Technologies in Virginia Beach, VA is seeking a Machine Learning Engineer (Training & Simulation Systems) to design, deploy, and integrate ML solutions for Navy training domains. This on-site role involves collaboration with cross-functional teams, Linux-based systems, and containerized environments.

You will build data pipelines, develop models with PyTorch/TensorFlow, and contribute to architecture documentation while ensuring system fidelity and performance.

Qualifications

• 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 and 6 years of relevant experience
• Hands-on experience building and deploying ML models with Python frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Experience with Linux-based development environments
• Familiarity with Agile/Scrum methodologies
• Experience implementing data pipelines, feature engineering, and model training/evaluation workflows
• Ability to obtain a DoD Information Assurance Technician (IAT) Level II certification or higher within 3 months of hire if not currently held
• Must be a U.S. Citizen
• Must hold a current/active DoD Secret clearance

Responsibilities

• Participate in Agile sprint planning and execution with cross-functional engineering teams
• Design, develop, and deploy ML 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 through performance tuning, error analysis, and model explainability
• Create supporting deliverables including architecture diagrams, data-flow documentation, model cards, evaluation reports, and code commentary
• Perform developer testing in lab environments and, when required, aboard ship
• Provide occasional on-site support for installations, model validation, and user evaluations (up to 10% travel)
• Support additional project and organizational needs as assigned

Skills

Python

PyTorch

TensorFlow

Scikit-learn

Linux

Agile/Scrum

Education

Bachelor's degree in related field

Master's degree in related field

High school diploma + 6 years relevant experience

Tools

Docker

Podman

Kubernetes

GitLab CI/CD

REST APIs

Jira

Git

Job description

HII Mission Technologies in Virginia Beach, VA is seeking a Machine Learning Engineer (Training & Simulation Systems) to design, deploy, and integrate ML solutions for Navy training domains. This on-site role involves collaboration with cross-functional teams, Linux-based systems, and containerized environments.

You will build data pipelines, develop models with PyTorch/TensorFlow, and contribute to architecture documentation while ensuring system fidelity and performance.