Responsibilities
The Lead Ads team empowers TikTok's global monetization (billion-dollar business) via efficiently delivering lead ads on TikTok. Our mission is to push the boundaries of large-scale ads delivery systems and lead the innovations of TikTok's personalized online advertising. Hence, you'll have a chance to get deeply involved in our large-scale distributed systems and state-of-the-art machine learning algorithms. As a Machine Learning Engineer on the Lead Ads team, you will make efforts to develop novel machine learning solutions for ranking, build scalable foundations and launch various products that maximize the efficiency of lead ads delivery.
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:
- Work on the development of a large-scale online ads delivery system and improve its accuracy.
- Explore multi-stage ranking models, conduct data analysis, develop feature engineering.
- Participate in the innovations of online ads systems using machine learning models, ranking algorithms, etc.
- Partner with product managers, data scientists and product strategy & operation team to launch new Lead Ads products and features.
Qualifications
Minimum Qualifications:
- Pursuing a BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
- Experience with applying machine learning methods for ranking.
- Software development experience and strong coding skills, especially in Python/C++. Experience with Tensorflow/PyTorch/MXNet is a plus.
- Experience with recommender system projects.
- Familiarity with online experimentation methods and analytics. Essential knowledge and skills in statistics.
- Curiosity toward new technologies and entrepreneurship.