Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)
TikTok.com
Office
Singapore, Singapore
Internship
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)
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)
Machine Learning Engineer Intern (Recommendation) - 2026 Start (BS/MS)
Office
Singapore, Singapore
Internship
August 11, 2025