Senior Applied Scientist , GenAI Evaluation Media Science

Amazon; Sunnyvale (CA); On-site; USD 150,000 - 260,000; Full time

Job summary

Amazon's GEM team is seeking a Senior Applied Scientist to advance product evaluation through visual media using ML and AI. This role involves developing innovative solutions for high-quality visual content and enhancing customer experiences across Amazon's global stores.

Benefits

Full range of medical, financial, and other benefits

Equity and sign-on payments

Qualifications

• 4+ years of applied research experience.
• Experience with large-scale ML model development and deployment.
• Proven delivery of ML solutions in production environments.

Responsibilities

• Design and implement science primitives for media understanding.
• Develop novel approaches for automated quality assurance.
• Build evaluation frameworks to measure visual quality.

Skills

Deep Learning

Machine Learning

Computer Vision

Programming

Education

PhD or MS in Computer Science

Tools

Java

C++

Python

Job description

Senior Applied Scientist , GenAI Evaluation Media Science

Job ID: 2994774 | 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 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

BASIC QUALIFICATIONS

- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- 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 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 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 $150,400/year in our lowest geographic market up to $260,000/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

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