Description The Shopping Conversation Foundation (SCF) team at Amazon is dedicated to providing foundational capabilities that enable Product, Engineering and Science teams across Rufus, Search, and Alexa Shopping to build, evaluate, and improve large language model (LLM)-based shopping experiences. Our focus areas involve evaluating the quality of the customer experience of AI powered applications, enhancing the customer experience by providing LLMs with up-to-date world knowledge from first-party and third-party data sources, serving high-quality training data for new LLM features (e.g., Multimodal) and Alexa Shopping Remarkable Alexa (RA), and building, serving, and maintaining trustworthy datasets for Rufus and Alexa Shopping. As a Senior Software Development Engineer in the SCF org, you will specialize in building engineering solutions for information retrieval problems on unstructured and noisy data at internet scale. You’ll tackle challenges such as retrieving relevant information from vast amounts of unstructured data sources like product specifications, expert opinions and customer reviews. You will need to develop innovative techniques to handle noise and ambiguity in natural language data while ensuring high precision and recall. Success in this role requires a solid understanding of information retrieval techniques, natural language processing, and the ability to stay up-to-date with the latest advancements e.g., Generative AI. Additionally, you will need to make high-judgment decisions when proposing trade-offs between factors such as model accuracy, computational efficiency, and data privacy, and work closely with cross-functional stakeholders to understand business requirements and propose innovative solutions. We embrace a collaborative and inclusive culture where diverse perspectives are valued, and creativity thrives. We foster a growth mindset, continuously learning and pushing the boundaries of what's possible in the field of machine learning, generative AI and natural language processing. Key job responsibilities Key job responsibilities Research, design, and develop cutting-edge information retrieval and natural language processing solutions to address complex challenges in the shopping domain, such as retrieving relevant information from unstructured and noisy data sources at internet scale. Design, develop, test, and deploy solutions for large scale distributed services that power search experiences through large language models (LLMs) and other machine learning models, ensuring efficient and reliable performance in production environments. Operationalize machine learning models by following best practices for model deployment, monitoring, and maintenance, ensuring seamless integration with existing systems and infrastructure. Mentor and guide junior engineers, fostering their growth and development through knowledge sharing, code reviews, and hands-on coaching. Contribute to the overall growth and development of the team by staying up-to-date with the latest advancements in machine learning, information retrieval, and natural language processing, and sharing your expertise through technical presentations, documentation, and training sessions. Basic Qualifications - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.