Machine Learning Engineer Intern (USDS) - 2026 Summer (BS/MS) job opportunity at Tiktok.

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Tiktok Machine Learning Engineer Intern (USDS) - 2026 Summer (BS/MS)
Experience: 1-year
Pattern: full-time
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Salary:
Status:

Intern Engineer

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degreeBachelor's (B.Sc.)
loacation SAN JOSE, CA, United States Of America
loacation SAN JOSE, CA....United States Of America

Responsibilities About the team The #Tech and Product team of TikTok USDS is missioned to empower TikTok US users to have a great user experience with strong data security and privacy protections, focusing on compliance, reliability, business and product support, and efficiency improvement. 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. 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. 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 as early as possible. Please state your availability clearly in your resume (Start date, End date). Summer Start Dates: May 18, 2026 June 1, 2026 June 15, 2026 In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time. Depending on the team that you'll be considered for, you can expect to: build ML models (clustering, graph mining, sequence, LLM) and data mining tools, analyzing user behaviors and attack patterns for risk control detection and mitigation, or build recall models for users in support of our recommendations systems to ensure better user experience across devices.

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