(General Hire) Machine Learning Scientist Intern (TikTok Recommendation - TikTok-Data) - 2025 Summer/Fall (PhD)
San Jose, California, United States
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
Powered by world-class machine learning technology, the TikTok Live Recommendation Team aims at providing the best livestream watching experience on the platform. We build algorithms to recommend the most relevant livestreams to users and help to grow a wholesome livestream content ecosystem.
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.
Applications will be reviewed on a rolling basis. We encourage you to apply early. 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.
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 12-24 weeks and begins in May/June 2025 or August/September 2025. Successful candidates must be able to commit to one of the following start dates below:
(Select below options for Summer)
- Monday, May 12
- Monday, May 19
- Tuesday May 27 (Memorial Day May 27)
- Monday, June 9
- Monday, June 23
(Select below options for Fall)
- Monday, August 11
- Monday, August 25
- Monday, September 8
- Monday, September 22
Please state your availability clearly in your resume (Start date, End date).
Applications will be reviewed on a rolling basis. We encourage you to apply early. 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.
Responsibilities:
1. Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
2. Deliver end-to-end machine learning solution to address critical product challenges;
3. Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance;
4. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
Powered by world-class machine learning technology, the TikTok Live Recommendation Team aims at providing the best livestream watching experience on the platform. We build algorithms to recommend the most relevant livestreams to users and help to grow a wholesome livestream content ecosystem.
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.
Applications will be reviewed on a rolling basis. We encourage you to apply early. 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.
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 12-24 weeks and begins in May/June 2025 or August/September 2025. Successful candidates must be able to commit to one of the following start dates below:
(Select below options for Summer)
- Monday, May 12
- Monday, May 19
- Tuesday May 27 (Memorial Day May 27)
- Monday, June 9
- Monday, June 23
(Select below options for Fall)
- Monday, August 11
- Monday, August 25
- Monday, September 8
- Monday, September 22
Please state your availability clearly in your resume (Start date, End date).
Applications will be reviewed on a rolling basis. We encourage you to apply early. 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.
Responsibilities:
1. Build industry-leading recommendation system, improving user experience, content ecosystem and platform security;
2. Deliver end-to-end machine learning solution to address critical product challenges;
3. Own the full stack machine learning system and optimize algorithms and infrastructure to improve recommendation performance;
4. Work with cross functional teams to design product strategies and build solutions to grow TikTok in important markets.
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Categories:
Data Science Jobs
Machine Learning Jobs
Tags: Machine Learning PhD Security
Perks/benefits: Career development Team events
Region:
North America
Country:
United States
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