5 months ago
Tokyo, JapanSenior
Responsibilities
- Analyze the RTB ecosystem, including SSP, DSP, and MMP environments, to identify opportunities and determine bidding strategies.
- Apply advanced deep learning models to improve bidding and audience model performance.
- Collaborate with teams to improve real-time and long-term user interaction signal collection and model performance.
Requirements
- Master’s or PhD degree in Computer Science, Machine Learning, Statistics, or a related field.
- At least 3 years of industry experience in the RTB ecosystem.
- Proficiency in Python and SQL.
- Experience with modern machine learning frameworks and deep learning models, including PyTorch and TensorFlow.
- Strong ownership and collaboration skills.
Benefits
- Visa sponsorship is provided for international candidates.
- The position is based in Tokyo, Japan.
Categories
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.