Solutions Engineer Intern — Hybrid/Remote

Pinterest; United States; Hybrid; USD 84,000 - 106,000; Full time

Job summary

Pinterest is seeking a Solutions Engineer Intern to contribute to engineering, data and advertising workflows. You will work across engineering, data analytics, product stakeholders and go‑to‑market teams to turn ambiguous problems into reliable technical solutions.

You will gain hands-on experience in coding, debugging, data analysis, automation and system design while applying AI tools under mentorship. This internship offers hybrid or remote options and real-world impact.

Qualifications

• Enrolled in a program pursuing a Bachelor's in CS/engineering.
• Graduation by June 2028.
• Foundational programming concepts, debugging and testing.
• Experience with Python, Java, JavaScript or C++.
• Clear communication and collaboration with teammates.

Responsibilities

• Complete assigned technical projects with quality, incorporating mentor feedback.
• Execute scoped tasks end-to-end contributing to Pinterest products and infra.
• Build, test, debug, and improve code, scripts, automations, internal tools or data workflows.
• Investigate issues using logs, data, docs and troubleshooting; identify root causes and solutions.
• Participate in scheduled engineering on-call coverage for triage and documentation.
• Collaborate with Engineering, Product, Sales, Operations and Support; engage external partners as needed.
• Improve reporting, monitoring, documentation, sample code or support processes.
• Use approved AI tools to accelerate research, coding, and documentation with proper validation.

Skills

Python

Java

JavaScript

C++

Education

Bachelor's degree in CS/engineering

Tools

CSV handling

Spreadsheets

Git / GitHub

Job description

Pinterest is seeking a Solutions Engineer Intern to contribute to engineering, data and advertising workflows. You will work across engineering, data analytics, product stakeholders and go‑to‑market teams to turn ambiguous problems into reliable technical solutions.

You will gain hands-on experience in coding, debugging, data analysis, automation and system design while applying AI tools under mentorship. This internship offers hybrid or remote options and real-world impact.