Applied Scientist II AGI Intelligent Decisions
Applied Scientist II AGI Intelligent Decisions
Posted on :
22-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 136000 - 223400
Vacancy
1 Vacancy
Posted on :
22-04-2025
Job Description
The Artificial General Intelligent team (AGI) seeks a passionate talented and resourceful Applied Scientist in the field of LLM Artificial Intelligence (AI) Natural Language Processing (NLP) and/or Information Retrieval to invent and build scalable solutions for a stateoftheart contextaware conversational AI.
As part of this team you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant aiming to revolutionize user experiences for millions of Alexa customers.
The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fastpaced environments possess the drive to tackle complex challenges and excel at swiftly delivering impactful solutions while iterating based on user feedback.
Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.
Key job responsibilities
. You will analyze understand and improve user experiences by leveraging Amazons heterogeneous data sources and largescale computing resources to accelerate advances in artificial intelligence.
. You will work on core LLM technologies including developing bestinclass modeling prompt optimization algorithms to enable Conversation AI use cases
Build and measure novel online & offline metrics for personal digital assistants and customer scenarios on diverse devices and endpoints
Create innovate and deliver deep learning policybased learning and/or machine learning based algorithms to deliver customerimpacting results
Perform model/data analysis and monitor metrics through online A/B testing
Research and implement novel machine learning and deep learning algorithms and models.
PhD or Masters degree and 2 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
2 years of building models for business application experience
2 years of handson experience in modeling and analysis and in deploying machine learning / deep learning models in production.
5 yrs. experience in building spoken language language processing systems (e.g. commercial speech products)
Solid Machine Learning background and familiar with SOTA machine learning techniques
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field
Solid software development experience
Good written and spoken communication skills
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.
As part of this team you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant aiming to revolutionize user experiences for millions of Alexa customers.
The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in the field. They thrive in fastpaced environments possess the drive to tackle complex challenges and excel at swiftly delivering impactful solutions while iterating based on user feedback.
Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.
Key job responsibilities
. You will analyze understand and improve user experiences by leveraging Amazons heterogeneous data sources and largescale computing resources to accelerate advances in artificial intelligence.
. You will work on core LLM technologies including developing bestinclass modeling prompt optimization algorithms to enable Conversation AI use cases
Build and measure novel online & offline metrics for personal digital assistants and customer scenarios on diverse devices and endpoints
Create innovate and deliver deep learning policybased learning and/or machine learning based algorithms to deliver customerimpacting results
Perform model/data analysis and monitor metrics through online A/B testing
Research and implement novel machine learning and deep learning algorithms and models.
PhD or Masters degree and 2 years of CS CE ML or related field experience
Experience programming in Java C Python or related language
2 years of building models for business application experience
2 years of handson experience in modeling and analysis and in deploying machine learning / deep learning models in production.
5 yrs. experience in building spoken language language processing systems (e.g. commercial speech products)
Solid Machine Learning background and familiar with SOTA machine learning techniques
Scientific thinking and the ability to invent a track record of thought leadership and contributions that have advanced the field
Solid software development experience
Good written and spoken communication skills
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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
