DESCRIPTION
The Amazon Photos team is looking for a world-class 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 the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition.
Key job responsibilities
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. AI-driven 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 real-world problems using AI while being a positive force for good.
With the recent advancements in Vision-Language models, Amazon Photos has completely re-thought the product roadmap and is looking for Applied Scientists to deliver both the short-term roadmap working closely with Product and Engineering and make investments for the long-term. Our research themes include, but are not limited to: foundational models, contrastive learning, diffusion models, few-shot and zero-shot learning, transfer learning, unsupervised and semi-supervised methods, active learning and semi-automated data annotation, deep learning, and large scale image and video detection and recognition.
Key job responsibilities
- Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Visual-Language 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 Visual-Language Model space over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems within Amazon Photos
- Communicate results and insights to both technical and non-technical 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. AI-driven 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 real-world problems using AI while being a positive force for good.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ 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, high-performance computing
PREFERRED QUALIFICATIONS
- PhD in computer science, machine learning, engineering, or related fields
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
- Material contributions to the CV/ML/AI field as related to image and video processing
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