Software Engineer Intern – Global E‑Commerce Search

TikTok; Seattle, Northern (WA, KY); Hybrid; USD 36,000 - 59,000; Full time

Benefits offered by this job

Health insurance

Housing allowance

Paid holidays

Paid sick time

Job summary

TikTok is offering a Software Engineer Intern position for Global E-commerce-Search in Seattle. The internship runs for 12 consecutive weeks and includes a mentorship, with hands-on project work across retrieval, indexing, and AI-enabled search infrastructure.

You will contribute to real systems, learn from engineers across search, ML, and data infrastructure, and present results to your team. This role emphasizes collaboration, learning, and practical software development experience.

Qualifications

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Able to work full-time for 12 consecutive weeks.
• Programming experience in at least one general-purpose language (C++, Go, Java, or Python).

Responsibilities

• Design and implement a scoped feature or system component with guidance from your mentor.
• Write clear, maintainable, and tested production code in languages such as C++, Go, Java, or Python.
• Participate in design discussions, code reviews, testing, documentation, and launch-readiness reviews.
• Use metrics and benchmarks to evaluate system quality, such as latency, throughput, reliability, freshness, or search relevance.
• Investigate technical issues, identify root causes, and propose practical improvements.
• Present your work and results to the team at the end of the internship.

Skills

C++

Go

Java

Python

Education

Bachelor's or Master's degree in CS/CE/SE

Tools

Linux

Git

Distributed Systems

Job description

TikTok is offering a Software Engineer Intern position for Global E-commerce-Search in Seattle. The internship runs for 12 consecutive weeks and includes a mentorship, with hands-on project work across retrieval, indexing, and AI-enabled search infrastructure.

You will contribute to real systems, learn from engineers across search, ML, and data infrastructure, and present results to your team. This role emphasizes collaboration, learning, and practical software development experience.