Machine Learning Engineer Intern (Search Ads) - 2026 Fall (BS/MS)

Job Description:

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. Internships at TikTok aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks beginning in 2026 . Candidates can apply to a maximum of two positions and will be considered for jobs in the order your apply. The application limits is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date). Fall Start Dates: August 10th, 2026 August 24th, 2026 September 8th, 2026 September 21st, 2026 * This opening is part of the general hiring process for the Global Monetization Product and Technology organization. Applications will be evaluated by multiple teams within the organization to ensure the best alignment based on skills and interests. Key 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

Candidate Requirements:

Minimum Qualifications: - Currently pursuing an Undergraduate/Master in Software Development, Computer Science, Computer Engineering, or a related technical discipline - 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 Qualifications: - Familiar with Ads system, recommendation, searching, ranking, etc