Software Engineer Intern 2027 (USA)

About the Role

Pinterest is seeking inquisitive, collaborative engineering interns to work with mentors and product, design, data, and backend engineers. Interns will learn how large-scale systems operate and use modern AI-assisted tools to build technologies, features, and tools through real projects.

Responsibilities

• Demonstrate accountability and quality with guidance from mentors, managers, and peers.
• Execute scoped technical tasks end-to-end.
• Deliver well-documented, tested, and operable code.
• Use AI tools to brainstorm approaches, write and refine code, and produce clear documentation.
• Communicate ideas candidly and pursue learning and development opportunities.
• Collaborate on projects that impact Pinterest.
• Engage with leaders and employees and participate in optional company events.

Qualifications

• Currently enrolled in a degree or education program working toward a bachelor's or master's degree in Computer Science or a related technical field.
• On track to graduate by June 2029.
• Understanding of computer science fundamentals, including data structures and algorithms.
• Familiarity with AI as a learning, productivity, engineering, and iterative coding tool, with sound judgment about accuracy, security, and when to seek help.
• Experience with one or more programming languages such as Python, Java, JavaScript/TypeScript, Go, or C++, and familiarity with relevant frameworks or technologies such as React or similar. Technical requirements vary by team.
• Non-academic coding experience, such as hackathons, coding challenges, personal projects, GitHub, open source, volunteer coding, or conference participation.
• Passion for Pinterest, comfort with ambiguity, and a growth mindset with willingness to continuously learn.

Internship Dates

• May 17, 2027 – August 6, 2027.
• June 14, 2027 – September 3, 2027.

Location and Work Arrangement

• San Francisco, California, or remote within approved US locations.
• Some interns will work hybrid, within commuting distance of an office, with approximately 1–2 in-person collaboration days per week. Others will work fully remotely.
• Specific location and work style will be confirmed during interviews and the offer process.

Compensation

• Base pay: $8,250–$11,000 monthly, equivalent to $99,000–$132,000 on an annualized basis, not total internship compensation.
• Final pay depends on factors including location, travel, relevant experience, and skills or expertise.

Application and Interview Requirements

• US-based applicants only; applicants must currently be legally authorized to work in the United States on a full-time basis.
• This position is not eligible for immigration sponsorship.
• Interviews explore foundational skills and collaboration with AI. Candidates must be able to explain their approach and reasoning.
• Application and hiring-process information must be true, accurate, and complete. False statements, omissions, or misrepresentations may result in disqualification or termination after hiring.
• Applicants needing medical or religious accommodations may request support through the application accommodation form.