(General Hire) Machine Learning Engineer Intern (Monetization Tech) - 2025 Project Intern (BS/MS)
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.
Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.
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.
This Internship Program runs for 10-24 weeks. Candidates can also apply for both Project Intern position and Program Intern position.
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.
Onboarding Dates for 2025 project intern runs bi-weekly from 1/6 till EOY 2025.
• January 6, 2025
• January 20, 2025
• February 3, 2025
• February 17, 2025
• March 3, 2025
• March 17, 2025
• March 31, 2025
• April 14, 2025
• April 28, 2025
Please state your availability clearly in your resume (Start date, End date).
Successful candidates must be able to commit to an onboarding date by end of year 2025.
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.
Responsibilities:
• Participate in the development of a large-scale Ads system.
• Participate in the development and iteration of Ads algorithms by using Machine Learning, including ads query understanding, ads targeting, ads ranking, model serving reliability, etc. Explore, develop and experiment with new features to improve model accuracy.
• Partner with product managers and the product strategy & operation team to define product strategy and features.
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.
Monetization Technology teams are building the next-generation monetization platforms to help millions of customers grow their businesses, utilizing our products like TikTok. Our teams develop a wide variety of advertisements for numerous uses including feeds, live streaming, branding, measurement, targeting, vertical solutions, creative solutions, and business integrity.
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.
This Internship Program runs for 10-24 weeks. Candidates can also apply for both Project Intern position and Program Intern position.
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.
Onboarding Dates for 2025 project intern runs bi-weekly from 1/6 till EOY 2025.
• January 6, 2025
• January 20, 2025
• February 3, 2025
• February 17, 2025
• March 3, 2025
• March 17, 2025
• March 31, 2025
• April 14, 2025
• April 28, 2025
Please state your availability clearly in your resume (Start date, End date).
Successful candidates must be able to commit to an onboarding date by end of year 2025.
We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.
Applications will be reviewed on a rolling basis. We encourage you to apply early.
Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.
Responsibilities:
• Participate in the development of a large-scale Ads system.
• Participate in the development and iteration of Ads algorithms by using Machine Learning, including ads query understanding, ads targeting, ads ranking, model serving reliability, etc. Explore, develop and experiment with new features to improve model accuracy.
• Partner with product managers and the product strategy & operation team to define product strategy and features.
Job stats:
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Machine Learning Streaming
Perks/benefits: Career development
Region:
North America
Country:
United States
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