Applied Scientist Artificial General Intelligence
Applied Scientist Artificial General Intelligence
Posted on :
15-03-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
15-03-2025
Job Description
The Artificial General Intelligence (AGI) team is seeking a dedicated skilled and innovative Applied Scientist with a robust background in deep learning to build industryleading technology with Large Language Models (LLMs) and Multimodal systems.
Key job responsibilities
As part of the AGI team the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques driving forward the frontier of LLM technology. This includes innovating modelintheloop and humanintheloop approaches to ensure the collection of highquality data safeguarding data privacy and security for LLM training and more. The Applied Scientist will also have a direct impact on enhancing customer experiences through stateoftheart products and services.
A day in the life
An Applied Scientist with the AGI team will support the science solution design run experiments research new algorithms and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice.
The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable scalable and highperformance products that require exceptional technical expertise and a sound understanding of Machine Learning.
PhD or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with Large Language Models (LLMs) or multimodal systems
PhD degree in Mathematics Statistics Engineering Machine Learning Computer Science or related discipline
4 years of industry or postdoctoral experience in machine learning
Experience with patents or publications at toptier peerreviewed conferences or journals
Experience with popular deep learning frameworks including MxNet PyTorch or TensorFlow
Experience in building largescale machine learning systems
Proficiency in stateoftheart Natural Language Processing (NLP) and Computer Vision (CV) deep learning models
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
As part of the AGI team the Applied Scientist will collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques driving forward the frontier of LLM technology. This includes innovating modelintheloop and humanintheloop approaches to ensure the collection of highquality data safeguarding data privacy and security for LLM training and more. The Applied Scientist will also have a direct impact on enhancing customer experiences through stateoftheart products and services.
A day in the life
An Applied Scientist with the AGI team will support the science solution design run experiments research new algorithms and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice.
The ideal candidate should be passionate about delivering experiences that delight customers and creating robust solutions. They will also create reliable scalable and highperformance products that require exceptional technical expertise and a sound understanding of Machine Learning.
PhD or Masters degree and 4 years of building machine learning models or developing algorithms for business application experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with Large Language Models (LLMs) or multimodal systems
PhD degree in Mathematics Statistics Engineering Machine Learning Computer Science or related discipline
4 years of industry or postdoctoral experience in machine learning
Experience with patents or publications at toptier peerreviewed conferences or journals
Experience with popular deep learning frameworks including MxNet PyTorch or TensorFlow
Experience in building largescale machine learning systems
Proficiency in stateoftheart Natural Language Processing (NLP) and Computer Vision (CV) deep learning models
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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