Machine Learning Engineer Intern (Monetization Technology - Ads Core Technology) - 2025 Start (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.
The Ads Traffic Strategy and User Experience team uses various levers and advertising space to adjust global and personalized distribution of ads traffic, optimize supply and demand, and achieve revenue target while meeting many regional, national and supply restrictions. By modeling active and passive user feedback signals, we improve the quality of advertising delivery and optimize traffic efficiency to protect users from unexpected and inappropriate advertising content, and improve user ads experience and retention.
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.
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. Please state your availability clearly in your resume (Start date, End date).
Summer Start Dates:
Monday, May 12
Monday, May 19
Tuesday May 27 (Memorial Day May 26)
Monday, June 9
Monday, June 23
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.
Online Assessment
Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
Responsibilities:
- Build highly scalable machine learning systems/models to improve ads ranking results.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand advertisement platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users.
- Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc.
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.
The Ads Traffic Strategy and User Experience team uses various levers and advertising space to adjust global and personalized distribution of ads traffic, optimize supply and demand, and achieve revenue target while meeting many regional, national and supply restrictions. By modeling active and passive user feedback signals, we improve the quality of advertising delivery and optimize traffic efficiency to protect users from unexpected and inappropriate advertising content, and improve user ads experience and retention.
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.
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. Please state your availability clearly in your resume (Start date, End date).
Summer Start Dates:
Monday, May 12
Monday, May 19
Tuesday May 27 (Memorial Day May 26)
Monday, June 9
Monday, June 23
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.
Online Assessment
Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment in HackerRank.
Responsibilities:
- Build highly scalable machine learning systems/models to improve ads ranking results.
- Explore, develop and experiment with new features to improve model accuracy.
- Understand advertisement platform objectives and take full advantage of modern machine learning to improve ad quality, relevancy, and select the best ad formats delivered to end-users.
- Develop robust core systems and algorithms, including ads format selection system, ads ranking system, model serving system, etc.
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Machine Learning PhD
Perks/benefits: Career development Team events
Region:
North America
Country:
United States
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