Job description

The TikTok 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 TikTok 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 TikTok'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. Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted. Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates. Responsibilities: - 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 TikTok. 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 (TensorFlow/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. Preferred Qualifications: - 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). - Relevant work or research experiences in search and recommendation.

Requirements

Must-haves

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
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 TikTok.
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 (TensorFlow/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.

Nice-to-haves

Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).
Relevant work or research experiences in search and recommendation.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learninggopython

Platform: tiktok
Effort: medium