Use machine learning and analytical techniques to create scalable solutions for business problems; Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes; Design, develop, evaluate and deploy, innovative and highly scalable ML models; Work closely with software engineering teams to drive real-time model implementations; Work closely with business partners to identify problems and propose machine learning solutions; Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance; Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production; Leading projects and mentoring other scientists, engineers in the use of ML techniques
Requirements:
5+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language; Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Text:
Applied Scientist, International Machine Learning Use machine learning and analytical techniques to create scalable solutions for business problems; Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes; Design, develop, evaluate and deploy, innovative and highly scalable ML models; Work closely with software engineering teams to drive real-time model implementations; Work closely with business partners to identify problems and propose machine learning solutions; Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance; Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production; Leading projects and mentoring other scientists, engineers in the use of ML techniques 5+ years of building models for business application experience; PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience; Experience in patents or publications at top-tier peer-reviewed conferences or journals; Experience programming in Java, C++, Python or related language; Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
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