Senior Applied Scientist Conversational AI ModEling and Learning CAMEL Conversational AI Modeling and Learning
Senior Applied Scientist Conversational AI ModEling and Learning CAMEL Conversational AI Modeling and Learning
Posted on :
28-04-2025
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1 Vacancy
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Job Description
The Alexa Conversational Assistants Services (CAS) org is looking for a Senior Applied Scientist with a background in Computer Vision Natural Language Processing and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities behind the new Alexa product.
Our goal is to make step function improvements in the use of advanced multimodal LLM models on very large scale computer vision datasets. This is a rare opportunity to develop cutting edge Computer Vision and Deep Learning technologies and apply them to a problem of this magnitude.
Some exciting questions that we expect to answer over the next few years include:
* How can multimodal inputs in LLMs help us deliver delightful conversational experiences to millions of Alexa customers
* Can combining multimodal data and very large scale LLM models help us provide a stepfunction improvement to the overall model understanding and reasoning capabilities
We are looking for exceptional scientists who are passionate about innovation and impact and want to work in a team with a startup culture within a larger organization. Please visit for more information.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
PhD in Computer Vision Robotics and/or Image Processing.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $150400/year in our lowest geographic market up to $260000/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.
Our goal is to make step function improvements in the use of advanced multimodal LLM models on very large scale computer vision datasets. This is a rare opportunity to develop cutting edge Computer Vision and Deep Learning technologies and apply them to a problem of this magnitude.
Some exciting questions that we expect to answer over the next few years include:
* How can multimodal inputs in LLMs help us deliver delightful conversational experiences to millions of Alexa customers
* Can combining multimodal data and very large scale LLM models help us provide a stepfunction improvement to the overall model understanding and reasoning capabilities
We are looking for exceptional scientists who are passionate about innovation and impact and want to work in a team with a startup culture within a larger organization. Please visit for more information.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with large scale distributed systems such as Hadoop Spark etc.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
PhD in Computer Vision Robotics and/or Image Processing.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $150400/year in our lowest geographic market up to $260000/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.
Required Experience:
Senior IC
Employment Type
Full-Time
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