Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
MH
Onsite Machine Learning Engineer – Training & Simulation Systems
Posted 21 hours ago
About the role
- Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine-learning models to enhance combat system training environments.
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)
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 and 6 years of relevant experience
- 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
- 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 or active DoD Secret clearance
Benefits
- 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
- Early childhood and post-secondary education scholarships
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