The GenAI Evaluation Media (GEM) team is seeking Applied Scientists to help revolutionize how customers evaluate products through visual media. Youll 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 Amazons 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 Amazons 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
- 4 years of applied research experience
- 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 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
Amazon 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 Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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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 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.