ML Engineer Intern: Build Data-Driven AI Solutions

TikTok Inc.; Seattle (WA); On-site; USD 28,000 - 36,000; Part time

Job summary

TikTok USDS Joint Venture in Seattle invites talented students to join a 12-week internship focused on building data-driven features. You will work with large-scale data, logs, metrics, and experiments to understand user search behavior and improve product quality, with mentorship from engineers and product teams.

Collaborate with data science, ML, and backend partners to define requirements and deliver milestones.

Qualifications

• Currently pursuing a Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related technical field.
• Able to commit to a 12-week internship during Summer 2027.
• Familiarity with at least one programming language, such as JavaScript/TypeScript, Python, Java, Go, or similar.
• Strong problem-solving skills, attention to detail, and willingness to learn from feedback. Interest in developer platforms, full-stack engineering, or AI-assisted development tools.

Responsibilities

• Work with large-scale data, logs, metrics, or experiments to understand user search behavior and improve product or system quality.
• Collaborate with engineering, product, data science, and machine learning partners to define requirements and deliver project milestones.
• Write clear, maintainable code and documentation for assigned workstreams.
• Communicate progress, risks, and learnings with mentors and stakeholders throughout the internship.

Skills

JavaScript/TypeScript

Python

Java

Go

Problem solving

Education

Bachelor's degree in Computer Science/Engineering

Master's degree in Computer Science/Engineering

Tools

Databases

Distributed systems

Data pipelines

Experimentation tools

Job description

TikTok USDS Joint Venture in Seattle invites talented students to join a 12-week internship focused on building data-driven features. You will work with large-scale data, logs, metrics, and experiments to understand user search behavior and improve product quality, with mentorship from engineers and product teams.

Collaborate with data science, ML, and backend partners to define requirements and deliver milestones.