Responsibilities
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 candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.
We are looking for talented individuals to join us for an internship in 2025. 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.
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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 May/June 2025 . Successful candidates must be able to commit to one of the following summer internship start dates below:
- Monday, May 12
- Monday, May 19
- Tuesday May 27 (Memorial Day May 26)
- Monday, June 9
- Monday, June 23
Please state your availability clearly in your resume (Start date, End date).
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
Qualifications
Minimum Qualifications:
- Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• Experience with one or more general purpose programming languages including but not limited to: Go, C/C++, Python
• Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems
• Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-functional environment
Preferred Qualifications
• Experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.