Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)

Description du poste:

About the TikTok Data Team Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem. 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. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok. Responsibilities 1. Participate in the recommendation algorithm of the livestreaming business and make contributions to a world-class large scale recommendation system 2. Optimize the core algorithms and strategies (recall, coarse ranking, fine ranking, mixed ranking, diversity, etc.) through modeling technologies including deep learning, representation learning, multi-task learning, causal inference, and sequence modeling. Ensure every user finds relevant creators and enjoys the fun of livestreaming. 3. Continuously improve recommendation technology with deep understanding of the ecological roles of users, creators, platforms, drive healthy growth in user experience, creator growth, platform revenue, and create a virtuous cycle of livestream ecosystem 4. Work closely with the product and operations team, excel in technological innovation with deep integration of business characteristics, and help achieve long-term and short-term business development goals. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Successful candidates must be able to commit to at least 3 months long internship period. Successful candidates must be able to commit to either of the following Internships - From January to June - From May to August (Summer)

Profil requis du candidat:

Minimum Qualifications: 1. Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline. 2. Solid programming foundation, good programming style and work habits, solid knowledge of data structures and algorithms. 3. Has strong theoretical foundation and extensive practical experience in the field of machine learning/deep learning , familiar with at least one mainstream deep learning framework. 4. Has exceptional ability to analyze and solve problems, passionate about solving challenging problems; good at communication, proactive at work, has a strong sense of responsibility, and possess good teamwork skills. 5. Priority will be given to individuals who have published papers at top conferences, won competitions such as ACM/machine learning, or have experience in core algorithm businesses such as large-scale recommendation systems, computational advertising, and search engines. Preferred Qualifications: - Experience in recommendation, search, advertising, or other related projects; -Published papers in the top AI conferences or journals is a plus, including ICML, ICLR KDD, IJCAI, WWW, WSDM, NeurIPS, ACL, AAAI etc.; - Competition experience in machine learning, data mining, NLP, etc.; - Good understanding of data structures and algorithms; - Passion for techniques and solving challenging problems. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy If you have any questions, please reach out to us at apac-earlycareers@tiktok.com