Principal Applied Scientist - Culver City, United States - Amazon

Description

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

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

Basic Qualifications

PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Data Science, Applied Math, Operational Research or a related quantitative field

10+ years of industry experience in Deep learning, Natural Language Processing/understanding, Reinforcement learning, and Speech processing

Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages.

Strong algorithm development experience

Depth and breadth in state-of-the-art machine learning technologies

Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms

Big Data Engineering with Spark / AWS EMR & Glue

Experience with Agile Software Development

Preferred Qualifications

Domain knowledge of comparable products (digital, retail)

Publications at top-tier peer-reviewed conferences or journals in one of those areas (natural language processing/understanding, deep learning, machine learning, or speech processing)

Proven track record of innovation in creating novel algorithms and advancing the state of the art

Audible is committed to a diverse and inclusive workplace.

Audible 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

Our compensation reflects the cost of labor across several US geographic markets.

The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/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 Applicants should apply via our internal or external career site.
#J-18808-Ljbffr