Applied Scientist , GenAI Evaluation Media Science - Amazon : Job Details

Applied Scientist , GenAI Evaluation Media Science

Amazon

Job Location : New York,NY, USA

Posted on : 2025-07-15T01:48:56Z

Job Description :
Applied Scientist , GenAI Evaluation Media Science

Job ID: 3001130 | Amazon.com Services LLC

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 fieldStrong background in deep learning, particularly in computer vision and generative AIExperience with large-scale ML model development and deploymentProven track record of delivering ML solutions in production environmentsPreferred Qualifications:Experience with multimodal understanding and foundation modelsBackground in image/video synthesis, 3D computer vision, or visual quality assessmentTrack record of scientific publications in top-tier conferences (CVPR, ICCV, NeurIPS)Familiarity with e-commerce applications of computer visionYou 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 decisionsKey job responsibilitiesDesign and implement science primitives for media understanding, standardization, and generation that power multiple visual media types across Amazon's storesDevelop novel approaches for automated quality assurance for maintaining high visual quality standardsPartner with foundational model building teams to leverage and enhance foundation models for visual synthesis and evaluationBuild evaluation frameworks and metrics to measure visual quality, realism, and customer impactCollaborate with cross-functional teams to integrate science solutions into production systems

BASIC QUALIFICATIONS

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Experience programming in Java, C++, Python or related language

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 visionAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.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 you're applying in isn't 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 $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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