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As the leader of the Auction Science team, you will drive the scientific and engineering strategy to innovate and build scalable solutions that improve auction design and efficiency. Your work will directly contribute to aligning advertiser needs with customer interests, ensuring that our auction systems maximize relevance and value for all stakeholders. You will be responsible for developing and managing a research agenda that balances short-term business impact with long-term strategic investments, driving continued scientific innovation in the fields of economics, game theory, operations research, and machine learning.
- 4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Strong knowledge of auction theory, economics, game theory, or operations research, with experience in applying these principles in practical scenarios.
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