Senior Machine Learning Engineer, AGI Foundations

The Artificial General Intelligence (AGI) team at Amazon is seeking a Senior Machine Learning Engineer to spearhead the development of cutting-edge technologies for efficient inference in Generative AI models. This role sits at the intersection of advanced machine learning and practical engineering, focusing on building and optimizing large language models (LLMs) and their inference systems.

The position offers an opportunity to work with state-of-the-art AI technologies while contributing to Amazon's ambitious AGI initiatives. As a senior engineer, you'll have significant autonomy in your work, staying current with the latest research, exploring new ideas, and collaborating with talented peers across the organization. The role combines technical leadership with hands-on development, requiring both deep technical expertise and strong mentorship abilities.

The team provides the backend infrastructure for pioneering AI applications, working in an open-minded environment that values continuous learning and innovation. You'll be part of a culture that celebrates achievements while maintaining a strong focus on customer needs and technical excellence. The position involves working with transformer architectures, optimization techniques, and large language models, making it ideal for someone passionate about advancing the field of artificial intelligence.

Working at Amazon's AGI team means joining a company at the forefront of AI innovation, with access to vast computational resources and the opportunity to work on problems that could shape the future of technology. The role offers the chance to build solutions that will be used at scale, while working alongside some of the best minds in the field.

The ideal candidate will combine strong technical skills with leadership ability, bringing experience in machine learning engineering and a track record of delivering complex systems. This position requires both technical depth in AI/ML and the ability to work effectively in a fast-paced, collaborative environment.