The Ads Targeting team at TikTok aims to help advertisers reach their desired audience and optimize advertisement performance by applying machine learning models to scale budgets, understanding user interest and intention, and building large-scale foundations for data processing and serving for next-generation ad targeting products.
Requirements
- Eperience 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.
- Experience in reinforcement learning, transfer learning, and counter-factual optimization is a plus.
- Experience with user modeling using deep learning methods from large scale datasets.
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.
Other
- Successful candidates must be able to commit to an onboarding date by end of year 2026.
- Please state your availability and graduation date clearly in your resume.
- Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply.
- Curiosity towards new technologies and entrepreneurship.
- We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company.
