Applied Machine Learning Engineer Intern – Ads System

Job Description

Machine Learning Engineer Intern (Commerce& Content Service & Search Ads)- 2026 Summer (BS/MS) | TikTok

The Tone:
This is an internship at TikTok, located in various global office locations (e.g., Los Angeles). TikTok is a global organization building next-generation monetization platforms to help millions of customers grow their businesses through products like TikTok. This role is crucial for developing and enhancing large-scale advertising systems, applying state-of-the-art machine learning to drive business growth and user engagement across its diverse product offerings. Interns gain industry exposure and hands-on experience, contributing directly to real-world challenges while building fundamental skills.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, Various global office locations (e.g., Los Angeles)
• Pay: $45–$60 hourly
• Team: Global Monetization Product and Technology organization
• Mission: Develop and implement state-of-the-art applied machine learning projects for TikTok’s advertising monetization ecosystem.
• Tech Stack: Go, C/C++, Python, Tensorflow/PyTorch/MXNet

What You’ll Actually Do
• Development: Participate in the development of a large-scale Ads system.
• Innovation: Be responsible for the development of state-of-the-art applied machine learning projects.
• Strategy: Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Collaboration: Work with product and business teams on product vision.

The Must-Haves
• Background: BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with a good theoretical grounding in machine learning concepts and techniques. Candidates must be students.
• Experience: Must commit to a 12-week full-time work period during Summer or Fall 2026. Possess experience in programming, debugging, and optimization, as well as experience in one or more machine learning frameworks.
• Skills: Excellent programming, debugging, and optimization skills in Go, C/C++, or Python. Ability to think critically and formulate solutions to problems in a clear and concise way.
• Bonus: Experience with Ads systems, recommendation systems, searching, or ranking.