Machine Learning Engineer Intern (TikTok-Business Risk Integrated Control-Community Health) - 2026 Summer (BS/MS)

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.

Qualifications

Minimum Qualifications:

• Currently pursuing a Bachelor or above degree in computer science, statistics, or other relevant, machine-learning-heavy majors.
• Solid engineering skills. Proficiency in at least two of: Linux, Hadoop, Hive, Spark, Storm.
• Strong machine learning background. Proficiency or publications in modern machine learning theories and applications such as deep neural nets, transfer/multi-task learning, reinforcement learning, time series or graph unsupervised learning.
• Ability to think critically, objectively, rationally. Reason and communicate in result-oriented, data-driven manner. High autonomy.

Preferred Qualifications:

• Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product.
• Strong publications record in top conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, etc) and journals (e.g., TPAMI, JMLR)
• Track record of high impact research.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy