5 months ago
Tokyo, JapanSenior / Staff+
Responsibilities
- Design, implement, and productionize 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.
- 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.
- Bonus: Experience with high-throughput, low-latency real-time systems.
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.