Software Engineer Intern Lead End-to-End High-Impact Projects

Glean

Mountain View (CA)

On-site

USD 45,000 - 65,000

Full time

10 days ago
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Job summary

Glean is seeking a Software Engineer intern to design, develop, and maintain software powering our products. You will own a scoped, high-impact project end-to-end—from problem definition to launch and measurement of outcomes.

You will ship production-quality code with thorough reviews and iteratively improve across the stack, including backend, ML/AI/search, infrastructure, security, and UI, in a fast-paced, data-driven setting in Mountain View, CA.

Qualifications

  • Graduating Fall 2026 or Spring 2027 with a B.S., M.S. or Ph.D. in Computer Science or equivalent program.
  • Comfortable working in a fast paced, data-driven environment.
  • Strong foundation in CS and software development fundamentals.
  • Interested in Backend, Infrastructure, Security, UI/full-stack, or ML/NLP/Search.
  • A team player, a strong desire to learn, and an owner mentality.
  • Prior internship experience in one or more of the areas above.

Responsibilities

  • Designing, developing, and maintaining software solutions that power our products and services.
  • Own a scoped, high-impact project end to end - from defining the problem and writing a design, to building, testing, launching, and measuring outcomes.
  • Ship production-quality code that is reliable, well-tested, and maintainable, with thoughtful code reviews and iterative feedback.
  • Learn quickly and contribute across the stack based on your interests - backend services, product engineering, ML/AI/search, infrastructure, security, and more.

Skills

Backend development

Education

B.S./M.S./Ph.D. in Computer Science

Job description

Glean is seeking a Software Engineer intern to design, develop, and maintain software powering our products. You will own a scoped, high-impact project end-to-end—from problem definition to launch and measurement of outcomes.

You will ship production-quality code with thorough reviews and iteratively improve across the stack, including backend, ML/AI/search, infrastructure, security, and UI, in a fast-paced, data-driven setting in Mountain View, CA.

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