Generative AI & ML Data Science Intern — Hybrid

American-Institutes-For-Research

Arlington (VA)

Hybrid

USD 40,000 - 57,000

Part time

21 hours ago
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Job summary

American Institutes for Research (AIR) in Arlington, VA, seeks a Data Science Associate Intern to join a team of data scientists and software engineers. The role supports market intelligence tool development and deep-learning projects, with a blend of cloud-based and on-premises applications.

The part-time internship runs September 2026 through December 2026 with hybrid work three days a week at AIR’s Crystal City office. Applicants must be authorized to work in the U.S.

Qualifications

  • Bachelor's degree in a STEM field and currently pursuing a Master's degree, such as in Computer Science, Physics, or Data Science.
  • Experience with Python to develop workflows.
  • Familiarity with generative AI tools and applications for practical use cases.

Responsibilities

  • Contribute to the design and implementation of AI‑and ML‑based workflows, including applications of large language models, generative AI, and multi‑agent or human‑in‑the‑loop systems.
  • Build cloud applications and data pipelines using platform-as-a-service and/or open-source tools.
  • Architect, design, and build components of AI applications.
  • Utilize external resources to supplement, organize, and contribute to tasks and projects.

Skills

Python
Generative AI
Communication
Teamwork

Education

Bachelor's degree in STEM
Pursuing Master’s degree in CS/Physics/Data Science

Tools

Cloud platforms (PaaS)
Open-source tools

Job description

American Institutes for Research (AIR) in Arlington, VA, seeks a Data Science Associate Intern to join a team of data scientists and software engineers. The role supports market intelligence tool development and deep-learning projects, with a blend of cloud-based and on-premises applications.

The part-time internship runs September 2026 through December 2026 with hybrid work three days a week at AIR’s Crystal City office. Applicants must be authorized to work in the U.S.

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