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Software Engineer, Intern (Summer 2027)

On-site
GleanMountain View, CA, US1 year agoWebsite
Fresh
Internship
Intern
University

Compensation

Salary undisclosed
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Description

 
About the Role:
 
As a Software Engineer intern, you will participate in designing, developing, and maintaining software solutions that power our products and services. 
You will:
  • 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
  • Work closely with people both within and beyond your team while having fun along the way

About you:

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

Location:

  • This role is hybrid (4 days a week in our Mountain View or San Francisco office)

Compensation & Benefits:

The hourly pay range for this position is $57 - $69. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.

#LI-HYBRID

Stack

Machine LearningNLP
Posted
Sep 3, 2025
Last seen
Oct 1, 2026
First seen
Oct 1, 2026

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