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Description

Amazon Photos empowers customers to preserve, share, and relieve their memories across mobile applications, web, desktop, Amazon devices, and as part of Alexa+. We strive to provide customers with the best memories companion for them and their families.

We're looking for a Software Development Engineer that wants to build and scale foundational services that power our computer vision and artificial intelligence capabilities. In this role, you'll architect and develop solutions that process millions of photos daily, enabling intelligent features that bring customer memories to life. You'll work at the intersection of large-scale distributed systems and AI technologies, creating services that form the backbone of Amazon Photos' next-generation features.

Key job responsibilities

- Design and implement scalable, fault-tolerant services that power computer vision and AI features across the Amazon Photos ecosystem

- Build and optimize full-stack solutions that handle massive amounts of photo and video data while maintaining high performance and reliability

- Architect and develop ML model serving infrastructure and pipelines for real-time computer vision applications

- Drive technical decisions and architecture discussions for critical infrastructure components

- Collaborate with ML scientists to productionize computer vision models and optimize their performance at scale

- Implement and maintain observability solutions for complex distributed systems

- Mentor junior engineers and contribute to building a culture of engineering excellence

- Partner with product managers and other teams to define technical roadmaps and deliver customer-facing features

About the team

We operate at massive scale, processing billions of customer photos while maintaining high availability and low latency. Our team leverages technologies in distributed systems, computer vision, and machine learning to create innovative solutions that delight customers. We're building the future of how people interact with their memories, using AI to create more personalized and meaningful experiences.

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

Preferred Qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Bachelor's degree in computer science or equivalent

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.