We are TikTok Monetization Ad Growth Team, dedicated to creating an exceptional advertising experience and intelligent growth marketing strategies for global advertising clients. Here, you will engage with challenging technical domains such as large-scale user systems, diverse advertising fields (ad creation, material optimization, delivery strategy, attribution, measurement, , AI-driven personalized recommendations and growth strategies, and massive client profiling powered by LLM and big data. We are seeking like-minded individuals to join us in leveraging technology to help global small and medium-sized business (SMB) advertisers effectively connect with customers, achieve business success, and drive the rapid growth of TikTok's advertising business! Responsibilities: TikTok Monetization's growth through the development of personalized strategies such as coupons, internal advertising, and intelligent suggestions. This role directly influences the company's P&L and monetization roadmap. with cross-functional teams to design cutting-edge machine learning models aimed at enhancing SMB advertisers' performance. This includes predicting key performance indicators like click-through rates and conversion rates, leveraging data and technology to drive business outcomes. TTAM (TikTok Ads Manager) Copilot by integrating LLMs into our products and services to improve advertiser engagement. Tasks include developing Generative-AI based QAs, recommending auto-creation strategies, and developing conversational creation flows, all contributing to user satisfaction and engagement.

Minimum Qualifications: 1. Master's degree in Computer Science, Engineering, Mathematics, or a related field. 2. Experience with machine learning, in either an academic or industrial setting. 3. Strong knowledge of machine learning algorithms and techniques, including natural language processing, computer vision, click-through rate prediction, etc. 4. Proficiency in programming languages such as Python, C++, Go, or Java, and experience with machine learning libraries and frameworks (., TensorFlow, PyTorch, or scikit-learn). 5. Experience with big data technologies, such as Hadoop, Spark, or Hive. 6. Strong analytical and problem-solving skills, with the ability to develop creative solutions to complex problems. 7. Very strong teamwork skills (. communication, collaboration, ownership, empathy, honesty). Preferred Qualifications: 1. PhD in Computer Science, Engineering, Mathematics, or a related field. 2. Experience in developing industrial advertising systems and recommendation systems. 3. Experience with LLM and AIGC.