About the job
The Ads Targeting's goal is to help advertisers reach their desired audience and optimize advertisement performance. As a member of the Ads Targeting, Ads Core team, you will apply machine learning models to scale budgets by understanding user interest and intention, and build large-scale foundations for data processing and serving for next-generation ad targeting products. This team is working on a variety of products such as custom audience, interest, behavior, lookalike, auto targeting etc., as well as new innovative features.
Responsibilities
• 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.
• Build scalable platforms and pipelines for ads targeting products.
• Work with product and business teams on the product vision.
Qualifications
Minimum
• BS/MS degree in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields, with related experience.
• Hands-on experience in one or more of the following areas: machine learning, deep learning, statistical models and applied mathematical methods.
• Strong coding skills, especially in Python/C++/Go. Experience with high-load systems.
• Familiarity with online experimentation and analytics.
• Familiarity with big data systems including Hadoop and Spark.
• Curiosity towards new technologies and entrepreneurship.
Preferred
• Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
• Understanding of the business value of online advertising.
• Experience with user modeling using deep learning methods from large scale datasets. Experience with privacy preserving modeling techniques is a plus.
• Experience in developing modern ads ranking/retrieval/targeting systems and recommender systems.