AI/ML Engineering Intern - 28587

Huntington Ingalls Industries, Inc.Annapolis Junction, MD
Onsite

About The Position

The AI/ML Engineering Intern will support the development, testing, and deployment of machine learning models and AI-driven solutions. Working under the guidance of senior engineers and data scientists, this role contributes to real-world projects involving data processing, model experimentation, and software integration. The ideal candidate is curious, analytical, and eager to learn modern AI and machine learning techniques in a practical, collaborative environment.

Requirements

  • 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
  • Strong problem-solving skills and ability to learn quickly
  • Excellent communication and teamwork abilities

Nice To Haves

  • Familiarity with cloud platforms (Azure, AWS, or GCP) is a plus

Responsibilities

  • 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

Benefits

  • 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
  • paid time off
  • tuition reimbursement
  • early childhood and post-secondary education scholarships
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