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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 communityWhy you'll love this opportunity:
- 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.
- 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
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