(General Hire) Machine Learning Engineer Intern (Commerce& Content Service & Search Ads)- 2026 Summer (BS/MS)

rkshops 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

• This opening is part of the general hiring process for the Global Monetization Product and Technology organization. Applications will be evaluated by multiple teams within the organization to ensure the best alignment based on skills and interests.

What You'll Do:

• 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:

• BS/MS degree in Computer Science, Computer Engineering, or other relevant majors.
• 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.
• Must be able to commit to a 12-week full-time work period during Summer or Fall 2026.

Preferred Qualifications:
-Ads system, recommendation, searching, ranking, etc.

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