Principal Applied Scientist, Sponsored Products and Brands

Key job responsibilities

• Design and develop novel generative AI architectures for real-time ad allocation, focusing on both efficiency and effectiveness at massive scale
• Lead research initiatives in applying large language models and multimodal AI to understand deep semantic relationships between ads, queries, and user behavior
• Create innovative approaches to leverage GenAI for dynamic ad placement optimization while maintaining strict latency requirements
• Collaborate with cross-functional teams to integrate GenAI solutions into existing advertising systems
• Author research papers and technical documentation, contributing to the broader scientific community

Basic Qualifications

• PhD in Computer Science, Applied Mathematics, Statistics or a closely related field of study.
• 8+ years of experience applying ML to solve complex problems for large-scale applications.

Preferred Qualifications

• Ability to translate informal customer requirements into problem definitions, dealing with ambiguity and competing objectives.
• Demonstrated leadership abilities, especially with cross-disciplinary efforts.
• Hands on experience building machine learning models - from theoretical and application to real-world-problems perspectives.
• Deep knowledge of statistical modeling techniques, scientific thinking, and the ability to apply these skills to real-world applications.
• Deep business and technical vision.
• Prior experience in online advertising or search ranking