Amazon
Applied Scientist , GenAI Evaluation Media Science
Amazon - Sunnyvale, California, United States, 94086
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Overview
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Overview
Applied Scientist Opportunities
The GenAI Evaluation Media (GEM) team is seeking Applied Scientists to help revolutionize how customers evaluate products through visual media. You'll develop machine learning, computer vision, and generative AI solutions that create beautiful, accurate, and impactful imagery and videos at scale. Required Qualifications: PhD or MS in Computer Science, Computer Vision, Machine Learning or related field Strong background in deep learning, particularly in computer vision and generative AI Experience with large-scale ML model development and deployment Proven track record of delivering ML solutions in production environments Preferred Qualifications: Experience with multimodal understanding and foundation models Background in image/video synthesis, 3D computer vision, or visual quality assessment Track record of scientific publications in top-tier conferences (CVPR, ICCV, NeurIPS) Familiarity with e-commerce applications of computer vision You will help build foundational science solutions that enhance and transform how millions of customers visually evaluate products across Amazon's global stores. Your work will directly influence the shopping experience by creating more engaging, accurate, and personalized visual content that helps customers make confident purchase decisions. Key job responsibilities: Design and implement science primitives for media understanding, standardization, and generation that power multiple visual media types across Amazon's stores Develop novel approaches for automated quality assurance for maintaining high visual quality standards Partner with foundational model building teams to leverage and enhance foundation models for visual synthesis and evaluation Build evaluation frameworks and metrics to measure visual quality, realism, and customer impact Collaborate with cross-functional teams to integrate science solutions into production systems
The GenAI Evaluation Media (GEM) team is seeking Applied Scientists to help revolutionize how customers evaluate products through visual media. You'll develop machine learning, computer vision, and generative AI solutions that create beautiful, accurate, and impactful imagery and videos at scale. Required Qualifications: PhD or MS in Computer Science, Computer Vision, Machine Learning or related field Strong background in deep learning, particularly in computer vision and generative AI Experience with large-scale ML model development and deployment Proven track record of delivering ML solutions in production environments Preferred Qualifications: Experience with multimodal understanding and foundation models Background in image/video synthesis, 3D computer vision, or visual quality assessment Track record of scientific publications in top-tier conferences (CVPR, ICCV, NeurIPS) Familiarity with e-commerce applications of computer vision You will help build foundational science solutions that enhance and transform how millions of customers visually evaluate products across Amazon's global stores. Your work will directly influence the shopping experience by creating more engaging, accurate, and personalized visual content that helps customers make confident purchase decisions. Key job responsibilities: Design and implement science primitives for media understanding, standardization, and generation that power multiple visual media types across Amazon's stores Develop novel approaches for automated quality assurance for maintaining high visual quality standards Partner with foundational model building teams to leverage and enhance foundation models for visual synthesis and evaluation Build evaluation frameworks and metrics to measure visual quality, realism, and customer impact Collaborate with cross-functional teams to integrate science solutions into production systems