Required for Applied Scientist I, Taskless

Job Description

Job summaryDo you want to define the future of Internet commerce Are you a top-notch scientist with a creative flare, strong problem-solving skills, a solid computer science foundation, and the desire to build Amazons next generation Internet-facing technology Come talk with us about joining our team to help our tax teams serve customers better.Is your next project going to define how Amazon looks at Fraud space With us you will propose and explore publication-worthy innovation in NLP/IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times for Amazon Tax teams.Are you ready to create systems to expand one of the world s largest e-commerce engines If so, come be a member of Amazon s Taskless Technology team. Taskless Tech builds software systems that ensure compliance for Amazon businesses and its subsidiaries and makes it easy for for millions of Amazon vendors including publishers, app developers, game developers, marketplace sellers, associates and others to comply for tens of billions of dollars in transactions. Were constantly looking for opportunities to expand capabilities in new geographies and new lines of business.Can you work at the scale of the biggest Internet companies The solutions that you will deploy must scale to accommodate rapid processing and integration with large enterprise customers. However, to add to the challenge, the solutions must also support intuitive world class UI for Amazon Tax teams to pay millions of vendors.Amazon is a premier place to build, deploy and operate Internet-scale services.Join our development team to work hard, have fun and make history. You will join a highly entrepreneurial culture defining and building a selling experience to complement Amazon s world-class websites.Amazon s Taskless Tax Technology team operates software platforms that are among the largest in the world by volume and complexity. We interact upstream with all of Amazon s businesses globally and the majority of our projects are cross-functional. Much of our work enables Amazon s new market or business model launches and happens as part of these enterprise programs. We partner integrally with the CFO organization worldwide, including the central finance functions and line of business leadership.We re looking to hire thought leaders who will drive architectural and design choices, invent and build scalable solutions for our people. We have a team culture that encourages innovation and we expect developers and management alike to take a high level of ownership for the product vision, technical architecture and project delivery.Key job responsibilitiesAs an applied machine learning scientist, you need to Analyze the data and metrics Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize processesDesign, experiment and evaluate modelsEstablish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationResearch and implement novel machine learning, statistical and econometrics approachesPublish and present your work at internal and external scientific venues in the fields of ML/NLP/IR, A B.Tech or MS in CS, Operations Research, Statistics, Machine Learning or other highly quantitative field. Strong coding and problem-solving skills in at least one programming language such as Python, Java, C++, etc. Working knowledge of large-scale data processing (e.g., Hadoop, Spark). Solid theoretical understanding of broad machine learning concepts with deep expertise in at least one area including but not limited to natural language processing, computer vision, deep neural network, reinforcement learning At least one publication in a leading conference or journal related to machine learning. Prior industrial work experience as an applied scientist in one of the following areas: Operations Research, Dynamic Programming, Machine Learning, Reinforcement Learning. Experience using an object-oriented language to write production-ready code. Strong record of publications in one of the following areas: Operations Research, Dynamic Programming, Machine Learning, Reinforcement Learning.

Keyskills :
natural language processingproblem solvingmachine learninggame developerscomputer visionproduct visiondata processingcomputer sciencesearch engine