Applied Scientist II, Customer360

Are you a scientist passionate about advancing Information Retrieval, NLP, and Large Language Models? Are you interested in innovating on behalf of millions of customers, helping them discover what they need in the moments that matter? Do you want access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems? If so, you'll be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. We build large-scale machine-learning solutions that delight customers with personalized and up-to-date experiences that are relevant to their interests. We are a team uniquely placed within Amazon to shape how customers will think about their shopping journey in the future. Key job responsibilities As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval, and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products, and systems. Please visit https://www.amazon.science for more information. A day in the life You will solve real-world problems by analyzing large-scale customer data, generating insights and hypotheses, executing experiments, and developing statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the organization. You communicate findings clearly to influence technical and product decisions. You innovate on behalf of the customer and build models that improve personalization experiences across Amazon. About the team The team values innovation and offers a safe place to try, fail, and learn while fostering continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with an entrepreneurial work environment focusing on customer obsession.