AI & Software Engineering Intern

USAFacts•Bellevue, WA
•Hybrid

About The Position

As an AI & Software Engineering Intern at USAFacts, you will help build the data and software systems that turn complex government data into trusted insights. Working with experienced engineers and product managers, you will contribute to designing, building, testing, and documenting tools, pipelines, and product features that power USAFacts platforms. Work may include developing data pipelines to integrate and prepare large public datasets, building software features that make data accessible and useful, and exploring AI capabilities such as preparing datasets for machine learning or supporting AI-enabled features. The internship offers hands-on experience across the technology stack and exposure to modern engineering practices. The position is based in Bellevue, Washington, with an intentional hybrid schedule: employees are on-site Tuesday through Thursday, while Monday and Friday are flexible between home and office. This is a paid, full-time, non-exempt hourly summer internship lasting at least 10 weeks, with flexible start and end dates between May and September to accommodate school schedules. Pay is $38 per hour; hours over 40 per week are paid at time and a half. Interns are not eligible for the company’s standard benefits package, but receive the paid time off, housing support, and transportation support described in the posting. USAFacts cannot coordinate academic credit through the intern’s school. USAFacts is a nonpartisan, not-for-profit organization that makes government data accessible and understandable as a free public service. Employees must follow its Political Activity Policy, including refraining from political donations and from volunteering for or publicly supporting political candidates, parties, or campaigns. Employees are also expected to avoid expressing partisan views on public platforms where they are identifiable as affiliated with USAFacts. USAFacts is an equal-opportunity employer committed to an inclusive workforce.

Requirements

  • Be a rising senior pursuing a bachelor’s degree in computer science, software engineering, data science, or a related field; the internship is for the summer before the final year of undergraduate study.
  • Have a strong programming foundation; Python is required.
  • Have familiarity with databases and SQL.
  • Have an interest in both software development and data systems.
  • Have curiosity about AI/ML and how data powers intelligent products.
  • Be comfortable working across different layers of the technology stack, from data pipelines to product features.

Nice To Haves

  • JavaScript or TypeScript experience.

Responsibilities

  • Collaborate with engineers and product managers to design, build, test, and document software and data systems.
  • Build mission-critical AI applications, data analysis tools, and end-to-end applications.
  • Contribute to products such as a Claude Connector, ChatGPT Plugin, and MCP Server.
  • Help develop data pipelines that integrate and prepare large public datasets.
  • Contribute to software features that make data accessible and useful.
  • Explore emerging AI capabilities, including preparing datasets for machine learning and supporting AI-enabled features.
  • Learn and apply modern development practices, including version control, testing, debugging, evaluation platforms, and CI/CD.

Benefits

  • $38 per hour, with overtime paid at time and a half for hours over 40 per week.
  • Relocating interns receive company-paid furnished corporate housing and a $1,000 travel reimbursement.
  • Local interns who do not need corporate housing can be reimbursed up to $2,000 per month for housing costs with a current rental agreement.
  • Three paid sick days and paid holidays for the duration of the internship.
  • Hybrid schedule with flexibility to work remotely or in-office on Mondays and Fridays.
  • Lunches provided on in-office days.
  • Either an ORCA card for local public transit or paid parking in or near the building.
  • Intern events, team outings, and a dedicated cohort morale budget.
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