Sr Engineer - ML Ops, SSG Science

Amazon Devices is seeking a Senior ML Ops Engineer to join their innovative team developing state-of-the-art techniques for Gen AI on edge devices. This role is part of the Applied Science team working on next-generation edge models and their optimization with custom ML hardware. The position offers an exciting opportunity to work with cutting-edge technology, including H100 clusters and Pytorch lightning frameworks, while developing end-to-end ML pipelines. You'll be responsible for building automation tools, scaling infrastructure, and solving complex technical challenges for Amazon's consumer products like Kindle, Fire Tablets, Echo, and Astro.

The role combines deep technical expertise in ML operations with large-scale infrastructure management. You'll work on automating model training and deployment pipelines, creating monitoring dashboards, and optimizing systems for better efficiency. This position requires strong programming skills in modern languages and experience with Linux/Unix environments.

As a senior engineer, you'll have the opportunity to influence the direction of Amazon's device AI capabilities while working with a global team of scientists and engineers. The role offers exposure to revolutionary architecture and the chance to make a significant impact on products used by millions of customers worldwide. Amazon's "Work Hard, Have Fun, Make History" culture provides an environment where you can drive innovation in consumer AI technology.

This is an ideal position for someone passionate about ML operations, infrastructure automation, and working at the intersection of AI and consumer devices. You'll be at the forefront of bringing advanced AI capabilities to edge devices while working with some of the most sophisticated ML hardware and software systems available.