Responsibilities 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. Qualifications 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. Job Information [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.