Machine Learning Engineer Intern (TikTok-Business Risk Integrated Control-Community Health) - 2026 Summer (BS/MS)
San Jose, California, United States
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The Business Risk Integrated Control (BRIC) team of TikTok, is missioned to:
- Protect TikTok users, including and beyond content consumers, creators, advertisers.
- Secure platform health and authenticity of community experience .
- Collaborate with cross-functional stakeholders to improve TikTok infrastructures, services, tools and algorithms, towards a higher standard of privacy and security.
The BRIC team works to measure and minimize the damage implied by inauthentic behaviors on TikTok and its extended platforms, covering multiple classical and novel integrity/security areas such as fake accounts, fake traffic, spam, scraping, cyberbullying, live room risks, incentive fraud, monetization abuse, etc.
In this team, you will have a unique opportunity to:
- Have first-hand experience contributing to TikTok's key security initiatives.
- Build scalable, resilient, intelligent integrity solutions that are also privacy-safe and user-friendly.
- Solve product and technical challenges that are often first-seen and highly adversarial. Both quick short term tactics and long term strategical moves are expected at various paces.
- Be part of a diverse and enthusiastic global workforce, grow with and learn from security and integrity experts across Asia, Europe, North America, etc.
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. 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.
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 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026
Responsibilities:
- Build machine learning solutions to respond to and mitigate business risks in ByteDance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Level up risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
- Protect TikTok users, including and beyond content consumers, creators, advertisers.
- Secure platform health and authenticity of community experience .
- Collaborate with cross-functional stakeholders to improve TikTok infrastructures, services, tools and algorithms, towards a higher standard of privacy and security.
The BRIC team works to measure and minimize the damage implied by inauthentic behaviors on TikTok and its extended platforms, covering multiple classical and novel integrity/security areas such as fake accounts, fake traffic, spam, scraping, cyberbullying, live room risks, incentive fraud, monetization abuse, etc.
In this team, you will have a unique opportunity to:
- Have first-hand experience contributing to TikTok's key security initiatives.
- Build scalable, resilient, intelligent integrity solutions that are also privacy-safe and user-friendly.
- Solve product and technical challenges that are often first-seen and highly adversarial. Both quick short term tactics and long term strategical moves are expected at various paces.
- Be part of a diverse and enthusiastic global workforce, grow with and learn from security and integrity experts across Asia, Europe, North America, etc.
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. 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.
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 11th, 2026
- May 18th, 2026
- May 26th, 2026
- June 8th, 2026
- June 22nd, 2026
Responsibilities:
- Build machine learning solutions to respond to and mitigate business risks in ByteDance products/platforms. Such risks include and are not limited to abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc.
- Improve modeling infrastructures, labels, features and algorithms towards robustness, automation and generalization, reduce modeling and operational load on risk adversaries and new product/risk ramping-ups.
- Level up risk machine learning excellence on privacy/compliance, interpretability, risk perception and analysis.
Job stats:
5
2
0
Categories:
Engineering Jobs
Machine Learning Jobs
Tags: Machine Learning Privacy Security
Perks/benefits: Career development Team events
Region:
North America
Country:
United States
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