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Position: Senior Applied Scientist, Machine Learning Accelerator
Institution: Amazon
Location: United States
Duties: The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale when they are determined to be of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring
Requirements: 4+ years of applied research 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
   
Text: Senior Applied Scientist, Machine Learning Accelerator The scope of an Applied Scientist III in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is to research and prototype Machine Learning applications that solve strategic business problems across SPS domains. Additionally, the scientist collaborates with engineers and business partners to design and implement solutions at scale when they are determined to be of broad benefit to SPS organizations. They develop large-scale solutions for high impact projects, introduce tools and other techniques that can be used to solve problems from various perspectives, and show depth and competence in more than one area. They influence the team’s technical strategy by making insightful contributions to the team’s priorities, approach and planning. They develop and introduce tools and practices that streamline the work of the team, and they mentor junior team members and participate in hiring 4+ years of applied research 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
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