Machine Learning Engineer Intern – Ads Monetization

Job Description

Machine Learning Engineer Intern (Monetization Technology)- 2026 Summer (BS/MS) | TikTok

The Tone:
This is an internship at TikTok, located in Los Angeles, CA. TikTok’s Global Monetization Product and Technology teams are dedicated to building the next-generation monetization platforms that empower millions of customers to grow their businesses through products like TikTok. This role is essential for developing a wide variety of advertisements and core machine learning systems, spanning areas such as feeds, live streaming, branding, measurement, targeting, search, and creative solutions. Interns will gain significant industry exposure and hands-on experience, applying their knowledge in real-world scenarios while laying a strong foundation for personal and professional growth within a leading global tech company.

The TL;DR
• Role: Internship
• Type: Temporary
• Location: In-person, Los Angeles, CA
• Pay: $45 hourly
• Team: Global Monetization Product and Technology teams
• Mission: Develop and implement state-of-the-art machine learning projects to enhance TikTok’s advertising monetization ecosystem.
• Tech Stack: Go, C/C++, Python, Tensorflow, PyTorch, MXNet

What You’ll Actually Do
• Development: Participate in building large-scale advertising systems.
• Project Ownership: Lead the development of advanced applied machine learning projects.
• Strategy: Own critical targeting components or strategies within TikTok’s ads monetization ecosystem.
• Collaboration: Work with product and business teams to define product vision.

The Must-Haves
• Background: Student pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or other relevant technical majors, possessing a strong theoretical grounding and practical understanding of machine learning concepts and techniques.
• Experience: Demonstrated experience in applying machine learning principles; ability to commit to working for the full 12-week duration during Summer 2026, with available start dates in May and June.
• Skills: Excellent proficiency in programming, debugging, and optimization across one or more general-purpose languages, including Go, C/C++, or Python; practical experience with machine learning frameworks such as Tensorflow, PyTorch, or MXNet; a strong ability to think critically and formulate clear, concise solutions to complex problems.
• Bonus: Prior exposure or experience with advertising systems, recommendation engines, search technologies, or ranking algorithms.