The 10 fairness-in-AI projects funded by the National Science Foundation in collaboration with Amazon

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company’s bottom-line, we want to talk to you. Major responsibilities 3+ years of building machine learning models for business application experience PhD, or Master’s degree and 2+ years of applied research experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language You have expertise in one of the applied science disciplines, such as machine learning, natural language processing, computer vision, Deep learning You are able to use reasonable assumptions, data, and customer requirements to solve problems. You initiate the design, development, execution, and implementation of smaller components with input and guidance from team members. You work with SDEs to deliver solutions into production to benefit customers or an area of the business. You assume responsibility for the code in your components. You write secure, stable, testable, maintainable code with minimal defects. You understand basic data structures, algorithms, model evaluation techniques, performance, and optimality tradeoffs. You follow engineering and scientific method best practices. You get your designs, models, and code reviewed. You test your code and models thoroughly You participate in team design, scoping and prioritization discussions. You are able to map a business goal to a scientific problem and map business metrics to technical metrics. You invent, refine and develop y