About the job
The Search Ads team constantly pushes the boundaries of general search engine monetization across our apps, including TikTok, TopBuzz, BuzzVideo, and more, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for talented individuals to join us for an internship in 2026. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
Responsibilities
Participate in the development of a large-scale Ads system
Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi-model, ranking strategy, etc
Participate in the development and iteration of Ads algorithms by using Machine Learning.
Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc
Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering
Research and develop Ads pacing algorithms, ads traffic control, etc
Partner with product managers and product strategy & operation team to define product strategy and features
Qualifications
Minimum
Currently pursuing 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.
Must be able to commit to a 12-week full-time work period during Summer or Fall 2026.
Preferred
Experience with Ads system, recommendation, searching, ranking, etc.