Applied Scientist, AGI Vertical Services - Speech, Audio & Video
Applied Scientist, AGI Vertical Services - Speech, Audio & Video
Posted on :
17-07-2025
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1 Vacancy
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Job Description
The Artificial General Intelligence - Vertical Service (AGI-VS) team is seeking a dedicated skilled and innovative Applied Scientist with a robust background in deep learning to build industry-leading technology with Large Language Models (LLMs) and in multi-modal systems.
Key job responsibilities
As part of the AGI-VS team you will work on solving key industry problems through specialized and optimized models and services. You will lead the development of advanced approaches and modeling techniques driving forward the frontier of LLM technology. This includes innovation on multi-modal (speech/audio/video) representations understanding transformation and generation for streaming and non-streaming applications learning from human and AI feedback inference time optimizations and data efficient scaling.
A day in the life
You will support the science solution design run experiments research innovative algorithms and find new ways of optimizing the customer experience while setting examples for the team on best science practice and standards. You will work closely with talented engineers and scientists to deliver your robust solution to core customers within and outside of Amazon.
Along this you create reliable scalable and high-performing solutions demonstrate exceptional technical expertise and showcase a sound understanding of Machine Learning in general and LLM technology in particular.
About the team
The AGI-VS teams mission is to solve industry- or task- specific GenAI problems through specialized models and services. Powered by Amazon AGIs Foundational Models (e.g. Nova family of models) Compute and Modeling Infrastructure we accelerate productivity for 1P and 3P professionals and unbox true creativity in content creation.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- PhD
- 4 years of deep learning computer vision human robotic interaction algorithms implementation experience
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
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.
Key job responsibilities
As part of the AGI-VS team you will work on solving key industry problems through specialized and optimized models and services. You will lead the development of advanced approaches and modeling techniques driving forward the frontier of LLM technology. This includes innovation on multi-modal (speech/audio/video) representations understanding transformation and generation for streaming and non-streaming applications learning from human and AI feedback inference time optimizations and data efficient scaling.
A day in the life
You will support the science solution design run experiments research innovative algorithms and find new ways of optimizing the customer experience while setting examples for the team on best science practice and standards. You will work closely with talented engineers and scientists to deliver your robust solution to core customers within and outside of Amazon.
Along this you create reliable scalable and high-performing solutions demonstrate exceptional technical expertise and showcase a sound understanding of Machine Learning in general and LLM technology in particular.
About the team
The AGI-VS teams mission is to solve industry- or task- specific GenAI problems through specialized models and services. Powered by Amazon AGIs Foundational Models (e.g. Nova family of models) Compute and Modeling Infrastructure we accelerate productivity for 1P and 3P professionals and unbox true creativity in content creation.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- PhD
- 4 years of deep learning computer vision human robotic interaction algorithms implementation experience
- Experience in building speech recognition machine translation and natural language processing systems (e.g. commercial speech products or government speech projects)
- Have publications at top-tier peer-reviewed conferences or journals
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.
m/w/d
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
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