3 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 is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to create value with cutting-edge AdTech and MarTech solutions. Guided by the vision of “Making AI Easy by Making Software Intelligent,” our mission is to help businesses turn Agentic AI into ROI. Founded in 2012, Appier is listed on the Tokyo Stock Exchange’s Prime Market (Ticker: 4180) and operates in 17 cities worldwide, enabling over 2,000 leading companies to enhance marketing performance with the latest AI technology. As AI enablers for our customers in the AI Era, Appier delivers innovative solutions that drive measurable results.