Software Development Engineer, GenAI Evaluation Media
Software Development Engineer, GenAI Evaluation Media
Posted on :
28-05-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
The GenAI Evaluation Media (GEM) org builds unique customer experiences based on visual media. Our north star vision is to deliver consistent high-quality and personalized visuals to customers throughout their Amazon shopping journey at low cost. We achieve this by building science Machine Learning (ML) primitives that understand existing visual media then intelligently select edit and generate visual content to suit each customers needs.
We are looking for a passionate Software Development Engineer who loves solving hard problems as part of a highly self-motivated team. Our specific engineering challenges span the complexities of scalable generative AI model hosting and human-in-the-loop asset analysis and annotations collections.
You will help lead a portion of our team focused on building hosting and serving dozens of ML and GenAI models. The team is building greenfield systems that are capable of generating and processing more than 200 million various 2d assets centered mostly images and videos to aid customers shopping decisions across their buying experience.
You will build and own full stack of software that leverages AWS machine learning (ML) and computer graphics technologies (2D/3D). You will build a core product across the whole software development life cycle in an entrepreneurial start-up like environment. You will design and build distributed systems building front end applications and backend services that can scale to millions of requests delivering an exceptional customer experience. You will build software that scales effortlessly has low latency is robust and extensible. You will work with cross-functional teams including UI/UX designers machine learning scientists product managers and other software engineers.
Key job responsibilities
As an SDE on our team youll be responsibile for building and maintaining both new greenfield applications and existing systems. Youll collaborate with product managers applied scientists and other SDEs to build scalable systems that generate evaluate and deliver high quality visual media (2d images 3d models videos etc.) to the retail website.
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelors degree or equivalent
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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.
We are looking for a passionate Software Development Engineer who loves solving hard problems as part of a highly self-motivated team. Our specific engineering challenges span the complexities of scalable generative AI model hosting and human-in-the-loop asset analysis and annotations collections.
You will help lead a portion of our team focused on building hosting and serving dozens of ML and GenAI models. The team is building greenfield systems that are capable of generating and processing more than 200 million various 2d assets centered mostly images and videos to aid customers shopping decisions across their buying experience.
You will build and own full stack of software that leverages AWS machine learning (ML) and computer graphics technologies (2D/3D). You will build a core product across the whole software development life cycle in an entrepreneurial start-up like environment. You will design and build distributed systems building front end applications and backend services that can scale to millions of requests delivering an exceptional customer experience. You will build software that scales effortlessly has low latency is robust and extensible. You will work with cross-functional teams including UI/UX designers machine learning scientists product managers and other software engineers.
Key job responsibilities
As an SDE on our team youll be responsibile for building and maintaining both new greenfield applications and existing systems. Youll collaborate with product managers applied scientists and other SDEs to build scalable systems that generate evaluate and deliver high quality visual media (2d images 3d models videos etc.) to the retail website.
- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Bachelors degree or equivalent
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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.
Employment Type
Full-Time
Department / Functional Area
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
