Key responsibilities include, but are not limited to: • Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences. A day in the life As an Applied Scientist on the Sponsored Products and Brands Off-Search team, you will contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences. If you are passionate about applying frontier AI to real-world problems with massive scale and impact, this is your opportunity to define the next chapter of advertising science. • PhD, or Master's degree and 6+ years of applied research experience • 3+ years of building machine learning models for business application experience • Experience programming in Java, C++, Python or related language • Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market.
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