Machine Learning Engineer Intern (Commerce Ads) - 2027 Summer

Responsibilities

The Tik Tok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads—both open-loop and closed-loop—to establish Tik Tok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving Tik Tok's ad revenue and are committed to developing the next-generation web ad solutions for the platform.

The Tik Tok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads—both open-loop and closed-loop—to establish Tik Tok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving Tik Tok's ad revenue and are committed to developing the next-generation web ad solutions for the platform.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

• Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization.
• Explore, develop and experiment with new features to improve model accuracy.
• Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users.
• Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on Tik Tok.

Minimum Qualifications:

• Currently pursuing a Bachelor's or above degree in Computer Science, Computer Engineering, or a related technical discipline.
• Solid programming skills, including but not limited to:
  Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment.
• Good analytical thinking capability. Have essential knowledge and skills in statistics.
• Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).
• Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (Tensor Flow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.
• Must be able to commit to a 12-week full-time work period during Summer 2027.

• 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 Tensor Flow).
• Relevant work or research experiences in search and recommendation.

【For Pay Transparency】Compensation Description (Hourly) - Campus Intern

The hourly rate range for this position in the selected city is $45- $45.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.