Applied Scientist
Applied Scientist
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
At Audible we believe stories have the power to transform lives. Its why we work with some of the worlds 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 II you will work on complex problems where neither the problem nor solution is well defined. Youll define and crisply frame research problems while developing novel scientific techniques in domains including machine learning artificial intelligence (AI) natural language processing (NLP) large language models (LLMs) reinforcement learning (RL) and audio processing. Your primary focus will be on applying and extending existing scientific techniques as well as inventing new approaches to address specific customer needs and business problems at the project level. You will contribute to internal or external peerreviewed publications that validate the novelty of your work while documenting and sharing findings in line with scientific best practices. You will work on LLM applications to enhance Audibles customer experience We work in a highly collaborative environment where youll primarily influence your team begin mentoring more junior scientists and partner with engineers and product managers to implement scalable efficient approaches for difficult problems. You will operate with some autonomy while knowing when to seek direction to deliver highquality scientific artifacts.
As an Applied Scientist II you will...
Define and implement scalable efficient approaches for difficult problems related to audio storytelling and content experiences
Apply and extend stateoftheart LLM techniques to address specific customer or business needs at the project level
Work on portions of systems large components applications or services supporting machine learning and AI use cases
Apply and extend stateoftheart techniques in areas like NLP and deep learning to address specific customer or business needs
Execute on teamlevel goals while creating intellectual property through your work
Apply best practices in software development at the component level ensuring solutions are testable reproducible and efficient
Document and share findings that contribute to the internal and external scientific community
Begin mentoring and developing teammates while gaining experience in tactical work and learning to be strategic
Collaborate with tech and product teams to implement solutions that consider relevant tradeoffs at the component level
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. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
5 years relevant experience MS in one of the following disciplines: Computer Science Statistics Data Science Economics Applied Math Operational Research or a related quantitative field OR PhD
Industry experience in Deep Learning Large Language Model Natural Language Processing/Understanding Reinforcement Learning or Speech Processing
Experience working with Large Language Models (LLMs) and their applications
Fluency in Python SQL or similar scripting languages and knowledge of Java C or other programming languages
Deep understanding of stateoftheart scientific principles and techniques in at least one computer science discipline
Experience with machine learning pipeline tools such as AWS SageMaker
Ability to work with big data tools such as Spark AWS EMR & Glue
Experience defining and implementing solutions for difficult problems that require consideration of relevant tradeoffs
Contributions to peerreviewed publications that validate novelty in your field
Experience applying LLMs to solve specific customer or business problems
Experience creating intellectual property through invention or innovation Demonstrated ability to work with some autonomy while knowing when to seek direction
Track record of documenting and sharing findings in line with scientific best practices
Experience explaining complex scientific concepts to team members
Domain knowledge of comparable products (digital retail)
Experience applying and extending existing scientific techniques to address specific customer needs
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
ABOUT THIS ROLE
As an Applied Scientist II you will work on complex problems where neither the problem nor solution is well defined. Youll define and crisply frame research problems while developing novel scientific techniques in domains including machine learning artificial intelligence (AI) natural language processing (NLP) large language models (LLMs) reinforcement learning (RL) and audio processing. Your primary focus will be on applying and extending existing scientific techniques as well as inventing new approaches to address specific customer needs and business problems at the project level. You will contribute to internal or external peerreviewed publications that validate the novelty of your work while documenting and sharing findings in line with scientific best practices. You will work on LLM applications to enhance Audibles customer experience We work in a highly collaborative environment where youll primarily influence your team begin mentoring more junior scientists and partner with engineers and product managers to implement scalable efficient approaches for difficult problems. You will operate with some autonomy while knowing when to seek direction to deliver highquality scientific artifacts.
As an Applied Scientist II you will...
Define and implement scalable efficient approaches for difficult problems related to audio storytelling and content experiences
Apply and extend stateoftheart LLM techniques to address specific customer or business needs at the project level
Work on portions of systems large components applications or services supporting machine learning and AI use cases
Apply and extend stateoftheart techniques in areas like NLP and deep learning to address specific customer or business needs
Execute on teamlevel goals while creating intellectual property through your work
Apply best practices in software development at the component level ensuring solutions are testable reproducible and efficient
Document and share findings that contribute to the internal and external scientific community
Begin mentoring and developing teammates while gaining experience in tactical work and learning to be strategic
Collaborate with tech and product teams to implement solutions that consider relevant tradeoffs at the component level
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. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.
5 years relevant experience MS in one of the following disciplines: Computer Science Statistics Data Science Economics Applied Math Operational Research or a related quantitative field OR PhD
Industry experience in Deep Learning Large Language Model Natural Language Processing/Understanding Reinforcement Learning or Speech Processing
Experience working with Large Language Models (LLMs) and their applications
Fluency in Python SQL or similar scripting languages and knowledge of Java C or other programming languages
Deep understanding of stateoftheart scientific principles and techniques in at least one computer science discipline
Experience with machine learning pipeline tools such as AWS SageMaker
Ability to work with big data tools such as Spark AWS EMR & Glue
Experience defining and implementing solutions for difficult problems that require consideration of relevant tradeoffs
Contributions to peerreviewed publications that validate novelty in your field
Experience applying LLMs to solve specific customer or business problems
Experience creating intellectual property through invention or innovation Demonstrated ability to work with some autonomy while knowing when to seek direction
Track record of documenting and sharing findings in line with scientific best practices
Experience explaining complex scientific concepts to team members
Domain knowledge of comparable products (digital retail)
Experience applying and extending existing scientific techniques to address specific customer needs
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Key Skills
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