Monetization Technology Intern
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Job Description
About TikTok
TikTok is the leading destination for short-form mobile video. Its mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and they also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Job Description
This is a Monetization Technology Internship for 2025, aimed at offering students industry exposure and hands-on experience, specifically in building the next-generation monetization platforms that help millions of customers grow their businesses using TikTok products. This involves developing a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.
Internship Details:
• A 12-week internship starting in May/June 2025.
• Successful candidates must be able to commit to one of the listed summer internship start dates.
Responsibilities:
• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Work with product and business teams on product vision.
Minimum Qualifications:
• BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• Experience in and good theoretical grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
• Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc.
• Ability to think critically and to formulate solutions to problems in a clear and concise way.
Preferred Qualifications:
• Ads system, recommendation, searching, ranking, etc.
• Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
• Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
The “General Hire” aspect means your profile will be considered for multiple openings across departments, and team-matching will be conducted based on interview results. Departments include, but are not limited to:
• Global Monetization Product and Technology-Commerce Ads Technology
• Global Monetization Product and Technology-Search Ads-Technology
• Global Monetization Product and Technology-Commerce Ads Technology-Traffic-Strategy
• Global Monetization Product and Technology-App Ads and Gaming Technology
• Global Monetization Product and Technology-Lead Ads Technology
