Responsibilities
- Design, implement, and maintain high-performance CTR and CVR prediction models that power ad ranking and recommendation systems.
- Build and refine systems for creative understanding and user behaviour modelling, enabling more accurate and context-aware engagement predictions.
- Responsible for model quality and reliability by monitoring performance, calibrating predictions, and proactively addressing data drift and delayed feedback.
- Clearly communicate complex technical concepts to non-engineering stakeholders in an accessible, outcome-focused way.
Requirements
- An MS or PhD in Computer Science, Machine Learning, Statistics, or a related field, or equivalent practical experience.
- Over 3 years of hands-on experience developing and operating large-scale ad delivery and optimization systems.
- Experience working with CTR/CVR modeling, creative or content understanding, or user behavior modeling.
- Strong proficiency in general-purpose programming languages such as Python, Go, Scala, C++, or similar.
- A solid grasp of metric design, experimentation methodologies like A/B testing, and large-scale data processing and analysis
