Artificial Intelligence & Machine Learning Intern

Supports ongoing research and development activities in Artificial Intelligence (AI) and Machine Learning (ML). Works closely with scientists and research staff, contributing to data-driven projects while gaining hands‑on experience in applied AI/ML methodologies.

• Assists in the development and implementation of AI and machine learning models.
• Performs tasks related to data collection, preprocessing, and data management.
• Supports the training, validation, and evaluation of machine learning algorithms.
• Contributes to the design and testing of analytical workflows and computational pipelines.
• Assists research staff with literature reviews and scientific manuscript preparation.
• Documents experimental procedures, results, and progress reports.
• Participates in team meetings and presents updates on assigned work.

• Programming skills (preferably in Python).
• Familiarity with data analysis tools (e.g., Pandas, Num Py) is an asset.
• Interest in Artificial Intelligence, Machine Learning, or data-driven research.
• Strong organizational skills and attention to detail.
• Ability to work independently as well as part of a team.

• Currently enrolled in or recently completed a program in Computer Science, Engineering, Data Science, or a related field.
• Completed at least one project in AI and machine learning.
• Collaborative Institutional Training Initiative (CITI) certification within 30 days of transfer or hire.

• Experience with machine learning frameworks (e.g., Tensor Flow, PyTorch, Scikit-learn).
• Exposure to data visualization or statistical analysis.
• Prior research or project experience in AI/M.

• Other Duties:
  This job description incorporates the essential functions and duties required for this position. However, other duties may be required and assigned at times and as determined by a supervisor in order to meet the needs of the organization.
• Serves as a role model in carrying out activities and behaviors that reflect the values and principles of the Boys Town mission.

• Position is relatively sedentary in a normal office administrative environment involving minimum exposure to physical risks. Will use office equipment such as a computer/laptop, monitor, keyboard, and a general workstation set‑up.

Boys Town is an equal employment opportunity employer and participates in the E-Verify program. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, age, disability, or veteran status. To request a disability-related accommodation in the application process, contact us at