Applied Scientist Amazon Photos
Applied Scientist Amazon Photos
Posted on :
01-05-2025
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1 Vacancy
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Job Description
The Amazon Photos team is looking for a worldclass Applied Scientist to join us and use AI to help customers relive their cherished memories. Our team of scientists have developed algorithms and models that power Amazon Photos features for millions of photos and videos daily. As part of the team we expect that you will develop innovative solutions to hard problems at massive scale and publish your findings in at peer reviewed conferences and workshops.
With all the recent advancements in VisionLanguage models Amazon Photos has completely rethought the product roadmap and is looking for Applied Scientists to deliver both the shortterm roadmap working closely with Product and Engineering and make investments for the longterm. Our research themes include but are not limited to: foundational models contrastive learning diffusion models fewshot and zeroshot learning transfer learning unsupervised and semisupervised methods active learning and semiautomated data annotation deep learning and large scale image and video detection and recognition.
Key job responsibilities
Collaborate with crossfunctional teams of engineers product managers and scientists to identify and solve complex problems in VisualLanguage Model space
Design and execute experiments to evaluate the performance of different models and iterate quickly to improve results
Create robust evaluation frameworks for assessing model performance across different domains and use cases
Think big about the VisualLanguage Model space over a multiyear horizon and identify new opportunities to apply these technologies to solve realworld problems within Amazon Photos
Communicate results and insights to both technical and nontechnical audiences including through presentations and written reports
About the team
Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AIdriven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile web and desktop apps in Fire TV and integrated into Alexa devices such as Echo Show. We solve realworld problems using AI while being a positive force for good.
3 years of building models for business application experience
PhD or Masters degree and 3 years of CS CE ML or related field experience
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 highperformance computing
PhD in computer science machine learning engineering or related fields
Experience in Large Vision/Language Models
Excellent technical publications
Material contributions to the CV/ML/AI field as related to image and video 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 $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.
With all the recent advancements in VisionLanguage models Amazon Photos has completely rethought the product roadmap and is looking for Applied Scientists to deliver both the shortterm roadmap working closely with Product and Engineering and make investments for the longterm. Our research themes include but are not limited to: foundational models contrastive learning diffusion models fewshot and zeroshot learning transfer learning unsupervised and semisupervised methods active learning and semiautomated data annotation deep learning and large scale image and video detection and recognition.
Key job responsibilities
Collaborate with crossfunctional teams of engineers product managers and scientists to identify and solve complex problems in VisualLanguage Model space
Design and execute experiments to evaluate the performance of different models and iterate quickly to improve results
Create robust evaluation frameworks for assessing model performance across different domains and use cases
Think big about the VisualLanguage Model space over a multiyear horizon and identify new opportunities to apply these technologies to solve realworld problems within Amazon Photos
Communicate results and insights to both technical and nontechnical audiences including through presentations and written reports
About the team
Amazon Photos is the one of the main digital products offered to Prime subscribers along with Amazon Music and Amazon Video. Amazon Photos provides unlimited photo storage and 5 GB for videos to Prime members and is a top Prime benefit in multiple marketplaces. AIdriven experiences based on image and video understanding are core to customer delight for the business. These experiences are delivered in our mobile web and desktop apps in Fire TV and integrated into Alexa devices such as Echo Show. We solve realworld problems using AI while being a positive force for good.
3 years of building models for business application experience
PhD or Masters degree and 3 years of CS CE ML or related field experience
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 highperformance computing
PhD in computer science machine learning engineering or related fields
Experience in Large Vision/Language Models
Excellent technical publications
Material contributions to the CV/ML/AI field as related to image and video 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 $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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