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Opportunity.org

Software Engineering Intern 2027 (Zurich)

Category
Internships
Posted
October 1, 2026
Region
Europe
Country
Switzerland
Sector
Technology & AI
Work mode
Hybrid
Apply via
pinterestcareers.com

Overview

Pinterest invites students to join its engineering team through a software engineering internship based in Zurich. This program places interns alongside mentors, product managers, designers, data scientists, and fellow engineers to learn the operations of large scale systems and contribute to the development of new technologies, features, and tools. Participants engage in production oriented projects that support company goals while building professional and technical skills.

Requirements

Applicants must currently be enrolled in a school or education program working toward a Bachelor degree in Computer Science or a related technical field, with an expected graduation date by June 2028. Candidates need to demonstrate an understanding of computer science fundamentals, including algorithms and data structures, and have familiarity with programming languages such as Python, Java, JavaScript or TypeScript, Go, or C++, along with relevant frameworks or tools like React. Additional requirements include non-academic coding experience through personal projects, hackathons, open source contributions, or code challenges, alongside foundational exposure to AI concepts or AI assisted software development and an interest in using AI-powered technologies responsibly.

What you get

Interns complete assigned technical projects while incorporating feedback from managers, mentors, and peers, and execute scoped technical tasks end-to-end that contribute to Pinterest products and infrastructure. Participants deliver well-documented, tested, and operable code, share ideas respectfully, and participate in intern program events and networking opportunities with leaders and colleagues. The position may offer eligibility for relocation assistance.

How to apply

Candidates interested in this opportunity should participate in the interview process, which explores foundational skills and collaboration with AI, focusing on the candidate's approach and problem-solving methodology.