over 1 year ago
Taipei, TaiwanSenior / Mid Level
Responsibilities
- Design and implement state-of-the-art ML models to improve campaign outcomes.
- Analyze large-scale user and auction data to discover predictive patterns and alpha signals.
- Collaborate cross-functionally with engineering, product, and data teams to identify opportunities and deliver solutions.
- Continuously improve system performance through offline experimentation and online testing.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, EE, or related field; Master’s or PhD preferred.
- 4+ years of industry experience in ad tech, focusing on performance optimization.
- Proven experience in applied machine learning, especially in CTR prediction and recommendation systems.
- Proficiency in Python and experience with modern ML frameworks like PyTorch and TensorFlow.
- Strong ownership and collaboration skills to lead end-to-end projects.
About Appier
Appier builds AI-driven advertising and marketing software for enterprises, offering programmatic ad bidding, customer data, and predictive tools delivered as SaaS. Founded in 2012 and headquartered in Taipei, it is a public company listed on the Tokyo Stock Exchange (ticker: 4180). Its Ad Cloud processes millions of bid requests per second across APAC, Europe, and the U.S., and is used by in-house and agency marketers.