Machine Learning Engineer Graduate (Search Ads Technology) - 2026 Start (BS/MS)
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About this role
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 talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resumes.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
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:
- 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.