Sr Applied Scientist Search Relevance jobs at Amazon in United States, Palo Alto

Are you an experienced search relevance professional looking for your next challenge? Would you like to join the world leader in the tech industry, Amazon, as an Applied Scientist in Search Relevance? At Amazon, in Palo Alto, USA, you will be working on expanding and refining current search relevance algorithms to ensure easy access to the ever-growing repository of content. By collaborating with internal teams, you will build data-driven systems whose goal is to develop a search experience that is intuitive, accurate, and fast. Your role as an Applied Scientist in Search Relevance will require you to have a deep understanding of Amazon's existing search algorithms and working experience in the application of complex algorithms to a variety of real-world problems. As such, you will need to have excellent problem-solving and critical thinking skills to debug, debug and optimize existing search rankings, data models and algorithms. This role requires that you possess an in-depth knowledge of machine learning technologies, and proficiency in programming languages such as Python, C++/C#, and others. If you are interested in contributing to the development of Amazon’s search relevance in terms of accuracy, speed and coverage of the data repository, then this position is perfect for you. You will get to work with a highly talented team and have the opportunity to grow and develop your career. Be sure to put your name forward and apply now on Expoint, the premier job search platform catered to the tech industry. With Expoint, you will gain access to the best rankings, data models and algorithms available to land your next job. Don’t miss your chance to join Amazon’s Applied Scientist in Search Relevance role!