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 customer's 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, you'll be responsibile for building and maintaining both new greenfield applications and existing systems. You'll 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.
Basic Qualifications
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
Bachelor's degree or equivalent
Preferred Qualifications
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 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 $129,300/year in our lowest geographic market up to $223,600/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.