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As an Applied Science Manager, you will be responsible for leading a team that delivers the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers.
Key job responsibilities- You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty.
- You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones.- You set standards and proactively drive components to use and improve on state-of-the-art techniques.
- 3+ years of scientists or machine learning engineers management experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience directly managing scientists or machine learning engineers
- Experience programming in Java, C++, Python or related language
- Experience with prompting techniques for LLMs
- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers
- PhD in math/statistics/engineering or other equivalent quantitative discipline
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
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