Description Amazon.com operates in a global eCommerce environment without boundaries, and operates a diverse set of businesses, including Retail, third party marketplaces, eCommerce platforms, web services for developers. Amazon's Cross Border business provides customers access to Amazon’s worldwide selection with a localized search and browse experience, convenient local payment options, end-to-end delivery solutions and access to native customer service on the local Amazon marketplace. Cross Border business simplifies the cross border shopping process by clearing customs on the customer’s behalf and by guaranteeing that the customer will not have to pay any additional duties and import fees beyond what is shown at checkout. RBS Cross Border team’s vision is to empower customers to “Stay Local, Shop Global” with an objective to improve cross border customer experience and maximize the revenue potential of cross border ASINs by fixing cross-listing, Buyability, discoverability and detail page conversion defects at scale. In 2025, RBS Cross Border team is establishing a new charter for cross border expansion in non-footprint countries (where Amazon has no direct retail presence), to enable customers to access our unique selections through their preferred shopping experiences. RBS Cross Border team is looking for a Research Analyst to develop cutting-edge ML/LLM solutions for business needs. Key job responsibilities As a Research Analyst, you will: • Design and implement ML/LLM solutions that meet business goals • Conduct product pilots demonstrating customer obsession and innovation • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques • Act as a bridge between science and software teams to deliver optimized solutions • Communicate technical concepts to stakeholders at all levels • Develop technical documentation for Design specifications, Algorithms, Implementation challenges and Performance metrics • Monitor and maintain existing solutions to ensure peak performance Basic Qualifications - Experience with scripting language (e.g., Python, Java, or R) - Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries) - Speak, write, and read fluently in English - Are enrolled in a Bachelor's degree or above - 1+ years of relevant work experience in solving real world business problems using machine learning(including Large-Language-Models), deep learning, data mining and statistical algorithms Preferred Qualifications - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.