Machine Learning Engineer Intern (Ads Measurement Signal and Privacy) - 2026 Summer (BS/MS)

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 2026 .

Candidates can apply to a maximum of two positions and will be considered for jobs in the order your apply. The application limits 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

Key Responsibilities:

• Participate in the development of a large-scale Ads system.
• Responsible for the development of state-of-the-art applied machine learning projects.
• Own key targeting components or strategies in the TikTok ads monetization ecosystem.
• Work with product and business teams on product vision.

Qualifications

Minimum Qualifications:

• Currently pursuing an Undergraduate/Master in Computer Science, Computer Engineering or a related technical discipline.
• Experience in and good theoretical grounding in machine learning concepts and techniques.
• Excellent programming, debugging, and optimization skills in one or more general purpose programming languages, including but not limited to: Go, C/C++, Python.
• Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc
• Ability to think critically and to formulate solutions to problems in a clear and concise way.

Preferred Qualifications:

• Ads system, recommendation, searching, ranking, etc. experience

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