Job summaryThe Amazon Product Classification and Inference Services team is seeking a Sr. Applied Science Manager for leading initiatives for understanding, classifying and inferring product information. Our vision is simple: build AI systems that are capable of a deep product understanding, so we can organize and merchandise products across the Amazon e-commerce catalog worldwide. You will lead a team of experienced Applied Scientists (direct reports) and also a Manager of Applied Science to create models and deliver them into the Amazon production ecosystem. Your efforts will build a robust ensemble of ML techniques that can drive classification of products with a high precision and scale to new countries and languages. The leader will drive investments in cutting edge machine learning: natural language processing, computer vision and artificial intelligence techniques to solve real world problems at scale. We develop Deep Neural Networks as our your daily job and use the team's output to affect the product discovery of the biggest e-tailer in the world. The research findings are directly related to Amazon’s Browse experience and impact million of customers. The team builds solutions ranging from automatic detection of misclassified product information in the ever growing Amazon Catalog, applications for inferring and backfilling product attributes (processing images, text and all the unstructured attributes) in the Amazon catalog to drive true understanding of products at scale. We are looking for an entrepreneurial, experienced Sr. Applied Science Manager who can turn a group of Machine Learning Scientists and Managers (PhD's in NLP, CV) to produce best in class solutions. The ideal candidate has deep expertise in one or several of the following fields: Web search, Applied/Theoretical Machine Learning, Deep Neural Networks, Classification Systems, Clustering, Label Propagation, Natural Language Processing, Computer Vision. S/he has a strong publication record at top relevant academic venues and experience in launching products/features in the industry.Key job responsibilitiesIn this team, you will:Manage business and technical requirements, design, be responsible for the overall coordination, quality, productivity and will be the primary point of contact for world-wide stakeholders of programs and goals that you lead.Partner with scientists, economists, and engineers to help deliver scalable ML scaled models, while building mechanisms to help our customers gain and apply insights, and build road maps for the projects you own.Track service levels and schedule adherence, and ensure the individual stakeholder teams meet and exceed their performance targets.Be expected to discover, define, and apply scientific, engineering, and business best practices.Manage and develop Scientists (direct reports and a Science Manager with a respective team).A day in the lifeYou will lead an Amazon team that builds creative solutions to real world problems. Your team will own devising the strategy and execution plans that power initiatives ranging from: classifying all Amazon products, fact extraction, automatic detection of missing product information, active learning mechanisms for scaling human tasks, building applications for understanding what type of information is critical, building mechanisms to analyze product composition, ingest images, text, and unstructured data to drive deep understanding of products at scale. About the teamThe team's mission is to infer knowledge, understand, classify, derive product facts for all Amazon products entering the Catalog. The work is critical to power the Amazon Taxonomy, Search, Navigation and Detail Page experiences, impacting million of customers. This is an already formed team with experience leading programs spanning services and ML initiatives supporting all countries and languages. The leader collaborates closely with Software Managers, Sr. Leaders, and has exposure to multiple peer teams at Amazon who rely on this team's developments.
Senior Applied Science Manager
