DESCRIPTION RBS Retail Business Services Tech team works towards enhancing the customer experience CX and their trust in product data by providing technologies to find and fix Amazon CX defects at scale Our platforms help in improving the CX in all phases of customer journey including selection discoverability fulfilment buying experience and post-buying experience product quality and customer returns The team also develops GenAI platforms for automation of Amazon Stores Operations As a Sciences team in RBS Tech we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience CX and Selling partner experience SPX We work to solve problems related to multi-modal understanding text and images task automation through multi-modal LLM Agents supervised and unsupervised techniques multi-task learning multi-label classification aspect and topic extraction for Customer Anecdote Mining image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results Key job responsibilities As an Applied Scientist you will be responsible to design and deploy scalable GenAI NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues You will develop novel LLM deep learning and statistical techniques for task automation text processing image processing pattern recognition and anomaly detection problems You will define the research and experiments strategy with an iterative execution approach to develop AI ML models and progressively improve the results over time You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation You will help the team leverage your expertise by coaching and mentoring You will contribute to the career development of colleagues improving the