TikTok Monetization Ads Interface Team is looking to enhance the advertising experience and drive intelligent growth marketing strategies for global advertising clients, specifically focusing on helping small and medium-sized business (SMB) advertisers connect with customers, achieve business success, and drive the rapid growth of TikTok's advertising business.
Requirements
- Experience with machine learning, in either an academic or industrial setting.
- Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc.
- Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn).
- Experience with big data technologies, such as Hadoop, Spark, or Hive.
- Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems.
- Experience in developing industrial advertising systems and recommendation systems.
- Experience with LLM and AIGC.
Responsibilities
- Shape TikTok Monetization's growth through the development of personalized strategies such as coupons, internal advertising, and intelligent suggestions.
- Work with cross-functional teams to design cutting-edge machine learning models aimed at enhancing SMB advertisers' performance.
- Build TTAM (TikTok Ads Manager) Copilot by integrating LLMs into our products and services to improve advertiser engagement.
- Developing Generative-AI based QAs, recommending auto-creation strategies, and developing conversational creation flows, all contributing to user satisfaction and engagement.
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 resumes.
- Very strong teamwork skills (e.g. communication, collaboration, ownership, empathy, honesty).
