Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2025 Summer/Fall (BS/MS)

Governance and Experience team of e-commerce are responsible for ensuring the safety and trust-worth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust.



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 or August/September 2025 (Select May if Summer or August if Fall

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



Fall Start Dates:

Monday, August 11

Monday, August 25

Monday, September 8

Monday, September 22



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.



Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.



Responsibilities:

- Work with a team to design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators;

- Collaborate with strategy team, product managers, policy team and ops team to help define products and drive initiatives from engineering viewpoints