Software Dev Engineer, Amazon

Amazon, the 4th most popular website in the US, is embarking on an innovative AI-first initiative to revolutionize their approach to Large Language Models (LLM) through next-generation deep learning techniques. This role presents a unique opportunity to join their Stores Foundational AI team, working on cutting-edge machine learning solutions at an unprecedented scale.

The position focuses on developing and implementing advanced Machine Learning solutions using extremely large-scale datasets, with an emphasis on systems engineering and hardware accelerator optimization. The team is tackling ambitious challenges such as knowledge transfer across Amazon's business applications, accelerating model training and inference at massive scales, and building world-class large-scale ML training capabilities specifically for deep learning models.

As a Software Development Engineer, you'll be at the forefront of shaping the next generation of Amazon's AI infrastructure. The role combines technical expertise in machine learning with practical business application, working on critical systems that serve hundreds of millions of customers worldwide. You'll be responsible for building and optimizing machine learning models for various business domains including Search, Ads, and Recommendations.

The position offers competitive compensation ranging from $129,300 to $223,600 per year, based on geographic location, along with comprehensive benefits including medical coverage and financial benefits. This is an excellent opportunity for experienced engineers passionate about machine learning, innovation, and working in a dynamic, startup-like environment while having the resources and impact potential of one of the world's largest technology companies.

The ideal candidate will bring strong software development experience, proven expertise in building large-scale machine learning infrastructure, and a track record of designing and implementing robust, scalable systems. Join Amazon's team to help revolutionize how AI and machine learning are applied to e-commerce and enterprise solutions at a global scale.