Principal Applied Scientist

Good storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.
ABOUT THIS ROLE
As a Principal 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 primary focus will be on designing, developing, and deploying highly innovative modeling techniques to production to advance the state of the art in aforementioned domains. 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 scientific research in Amazon and to foster valuable scientific partnership opportunities to help/guide strategic science decisions.
ABOUT THE TEAM
We work in a highly collaborative, fast-paced environment where scientists, engineers, and product managers work to test and build scalable 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.
As a Principal Applied Scientist, you will...
- Understand large complex use cases across the business and design the model solution that is scalable, efficient, automated
- Design, develop, and deploy highly innovative modeling techniques, in particular next generation of tools/features empowered by LLM
- Partner closely with other Amazon scientists focused on LLM use cases
- Drive and lead strategic 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 in the team and across Amazon
ABOUT AUDIBLE
At Audible, we innovate and inspire through the power of voice. We're changing the narrative on storytelling. As a leading creator and provider of premium audio storytelling, we've redefined the ways people access, discover, and share stories. The stories we tell have the ability to transport and transform everyday moments into meaningful experiences and it's our people who make Audible's service possible. We're listeners, storytellers, and problem-solvers. Our perspectives and experiences power our ideas and come together in our mission to unleash the power of the spoken word. Audible offers a Hub+Home hybrid workplace model that gives employees flexibility between gathering in an Audible workspace (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:
Cambridge, MA, USA | Culver City, CA, USA | Newark, NJ, USA