Public Sector AI Systems Intern — Ship Real Tech

United States Digital Space LLC

Doha

On-site

QAR 201,000 - 251,000

Full time

4 days ago
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Benefits offered by this job

Mentorship from world-class engineers
Real shipped projects

Job summary

Scale's Global Public Sector team is offering a Summer 2027 internship in San Francisco. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship and a culture that values ownership and speed.

The role targets product engineering with full-stack web apps, API integrations, and data-driven features. Ideal candidates are CS or related field students graduating Fall 2027/Spring 2028, with hands-on web development and internships.

Qualifications

  • Graduation date Fall 2027 or Spring 2028 with a Bachelor's in CS/EECS/Computer Engineering/Statistics
  • Available for a Summer 2027 internship (May/June start) in San Francisco
  • Experience building web apps full-stack and talking to customers to determine what to build
  • Prior CS/Software Engineering internship experience is preferred
  • Track record of shipping high-quality products and features

Responsibilities

  • Build and ship features on roadmaps alongside full-time engineers
  • Develop and maintain web applications with APIs and backend services
  • Collaborate with cross-functional teams including customers to iterate on product requirements
  • Contribute to data-driven projects and improve system reliability

Skills

Full-stack web app development
API integration
Customer interaction
Shipping software features
Python
TypeScript
React
MongoDB

Education

Bachelor's degree in Computer Science or related field

Tools

MongoDB
React
TypeScript
REST APIs

Job description

Scale's Global Public Sector team is offering a Summer 2027 internship in San Francisco. Interns own real, shipped work on the same roadmaps as full-time engineers, with mentorship and a culture that values ownership and speed.

The role targets product engineering with full-stack web apps, API integrations, and data-driven features. Ideal candidates are CS or related field students graduating Fall 2027/Spring 2028, with hands-on web development and internships.

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