(General Hire) Machine Learning Engineer Intern (Commerce& Content Service & Search Ads) - 2025 Summer/Fall (BS/MS)

or 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 . Successful candidates must be able to commit to one of the following summer internship start dates below:

• Monday, May 12
• Monday, May 19
• Tuesday May 27 (Memorial Day May 26)
• Monday, June 9
• Monday, June 23

Please state your availability clearly in your resume (Start date, End date).

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:

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

Preferred Qualifications:
• Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).
• Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).

General Hire: If you see the "general hire" in the title of this position, it means that the position is for multiple departments. After applying for this role, your profile will be considered for multiple openings across the department; team-matching will be conducted by hiring managers based on your interview results.

The department this position is considered for include but not limited to:

• Global Monetization Product and Technology-Commerce Ads Technology
• Global Monetization Product and Technology-Search Ads-Technology
  -Global Monetization Product and Technology-Commerce Ads Technology-Traffic-Strategy
  -Global Monetization Product and Technology-App Ads and Gaming Technology
  -Global Monetization Product and Technology-Lead Ads Technology