Software Dev Engineer Machine Learning

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Please note these are not remote positions.Key job responsibilitiesCollaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. Participate in code reviews and contribute to technical documentation. Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. Write clean, maintainable code following best practices and design patterns. Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. A day in the lifeAs a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology. Your day might involve learning from and collaborating with ML scientists to implement new model architectures, optimizing training pipelines for better efficiency, analyzing model performance metrics, and participating in design reviews for new ML features. You'll work closely with product managers to understand requirements and with senior engineers to ensure your solutions meet Amazon's high standards for reliability and scalability.About the teamThe Video Streaming Quality (VQ) team at Ring focuses on improving the end-to-end video and audio streaming experience across millions of smart home devices. Our work spans from optimizing quality & observability, encoding optimization and research of next gen codecs as well as advanced streaming architecture. Our tech stack includes ML/AI frameworks for real-time inference on device and cloud, video codecs (H.264, H.265, AV1), WebRTC streaming, FFmpeg-based transcoding pipelines, and AWS cloud infrastructure. New hires would have the opportunity to work on impactful AI/ML research and engineering projects within a growing, collaborative team that is part of Amazon's expanding Madrid Tech Hub.