Amazon Search is at the forefront of revolutionizing product search and online shopping through advanced GenAI and Machine Learning (ML) innovations.
We are seeking an Applied Science Manager for Search Navigation AI team, who is not only deeply knowledgeable in the theoretical foundations of ML, AI and LLMs but also skilled in leading and mentoring teams through the practical challenges of innovation. This leadership role demands a hands-on, pragmatic approach to navigating complex scientific and engineering problems, with a focus on delivering results. The ideal candidate will demonstrate a proven track record in guiding teams to develop, deploy, and enhance next-generation of search navigation experience, including advanced applications of Neural Networks (NN), Deep Learning (DL), Retrieval-Augmented Generation (RAG) LLMs, and the rapidly evolving field of AI agents
In this role, you will lead by example in conceptualizing, building, and launching ML and GenAI models that elevate our search capabilities and user experience. You'll be responsible for defining technical strategy, overseeing project execution, and mentoring team members in best practices across machine learning model development, implementation, and optimization. You will closely work with product teams and other partner teams to drive cross-organization projects and deliver results with significant business impact to customers.
Join the Search Navigation AI team, a group of pioneering scientists and engineers dedicated to building core ML and GenAI models, and developing the infrastructure for model innovation. As part of Amazon Search, you will experience the dynamic, innovative culture of a startup, backed by the extensive resources of Amazon.com (AMZN), a global leader in internet services. Our collaborative, customer-centric work environment spans across our offices in Palo Alto, CA, and Seattle, WA, offering a unique blend of opportunities for professional growth and innovation.
