At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us. ABOUT THIS ROLE As an Applied Scientist, you will solve large complex real-world problems at scale, draw inspiration from the latest science and technology to empower undefined/untapped business use cases, delve into customer requirements, collaborate with tech and product teams on design, and create production-ready models that span various domains, including machine learning, artificial intelligence (AI), natural language processing (NLP), reinforcement learning (RL), real-time and distributed systems. Your work will be both tactical and strategic. Your focus will be on designing, developing, and deploying highly innovative end-to-end solutions to production, including scientific contributions. You will develop reusable science components and services that resolve architecture deficiencies and customers’ pain points, while making technical trade-offs for long-term/short- term. Your decision-making will consistently incorporate robust, data-driven business and technical judgment. You will collaborate with and mentor other scientists to raise the bar of both scientific and engineering complexity for the team and to foster valuable scientific partnership opportunities to help/guide science decisions. ABOUT THE TEAM Audible Content Science team partners with business, technology, and product leaders to solve problems related to Content Understanding, Content Evaluation, and Recommendations, relying on Natural Language Processing (NLP), ML, Deep Learning, LLMs/GenAI. We work in a highly collaborative, fast-paced environment where scientists, engineers, and product managers work to test and build scalable foundational capabilities, as well as customer facing experiences. You will have the opportunity to innovate, invent, think big, and streamline cutting-edge optimization services and algorithms to influence the experiences of millions of customers. ABOUT YOU You are a motivated, results-oriented Applied Scientist with strong rigor and demonstrable skills in Experimentation, NLP, ML, DL, GenAI, and/or large-scale distributed computation. As an Applied Scientist, you will... - Understand complex use cases across the business and design solutions/models that are scalable, efficient, automated - Work closely with fellow scientists and software engineers (at Audible and Amazon) to build and productionize models, deliver novel and highly impactful features - Review models of peers for the purpose of reducing and managing risk to the business, while improving customer experience - Design, develop, and deploy highly innovative modeling techniques, with a focus on NLP and next generation of tools/features empowered by LLM - Drive and lead initiatives to employ the most recent advances in ML/AI in a fast-paced, experimental environment - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features - Push the boundary of innovation - Mentor and grow the scientists on the team and across Amazon ABOUT AUDIBLE Audible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. Our Hub+Home hybrid workplace model gives employees the flexibility between gathering in a common office space (work from hub) and remote work (work from home). For more information, please visit adbl.co/hybrid. We are open to hiring candidates to work out of one of the following locations: Newark, NJ, USA