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Mission Technologies, a division of HII

AI/ML Engineering Intern

Mission Technologies, a division of HII

AI/ML Engineering Intern supporting development, testing, and deployment of machine learning models at HII. Collaborating with senior engineers to contribute to real-world data processing projects.

Posted 5/14/2026full-timeAnnapolis Junction • Maryland • 🇺🇸 United StatesEntry Level💰 $51,706 - $70,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoogle Cloud PlatformNumpyPandasPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact
  • Assist in designing, training, and evaluating machine learning models for various business use cases
  • Support data collection, preprocessing, cleaning, and feature engineering tasks
  • Help build scalable ML pipelines and contribute to model deployment efforts
  • Conduct research on new algorithms, frameworks, and tools to improve model performance
  • Collaborate with engineering teams to integrate models into applications or systems
  • Participate in code reviews, documentation, and agile development processes
  • Analyze results, prepare reports, and present findings to project stakeholders
  • Troubleshoot issues and help optimize existing models or workflows

Requirements

What you’ll need
  • Currently pursuing a bachelor's or master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
  • Foundational knowledge of machine learning concepts such as supervised and unsupervised learning, model evaluation, and feature engineering
  • Experience with Python and ML libraries such as NumPy, pandas, scikit-learn, TensorFlow or PyTorch
  • Understanding of data structures, algorithms, and basic software engineering practices
  • Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus
  • Strong problem-solving skills and ability to learn quickly
  • Excellent communication and teamwork abilities

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningdata preprocessingfeature engineeringmodel deploymentPythonNumPypandasscikit-learnTensorFlowPyTorch
Soft Skills
problem-solvingcommunicationteamworkability to learn quickly