Sr. Machine Learning Engineer, Amazon General Intelligence (AGI)

Join Amazon's Machine Learning training infrastructure (ML Infra) team, where you'll be at the forefront of designing and implementing large-scale computing infrastructure for cutting-edge AI initiatives. As a Senior Machine Learning Engineer in the Amazon General Intelligence (AGI) team, you'll work on revolutionary projects that shape the future of artificial intelligence. The role combines deep technical expertise in distributed systems, ML infrastructure, and modern AI frameworks with leadership responsibilities.

You'll be responsible for architecting and delivering complex ML infrastructure solutions that power Amazon's AI research and product development. The position requires expertise in parallel computing, AI frameworks, and cloud technologies, while also demanding strong leadership skills to guide teams and influence technical decisions across the organization.

The AGI team's mission is to develop hyper-scalable, general-purpose large model training and inference systems for cutting-edge sensory AI foundational models. This work directly impacts how machines perceive, interpret, and interact with humans and the physical world.

Working at Amazon, you'll benefit from a comprehensive compensation package that includes competitive base pay ranging from $151,300 to $261,500 depending on location, plus equity and other benefits. You'll collaborate with top minds in AI while having the opportunity to make significant contributions to the field of artificial intelligence.

This role offers unique career growth opportunities, combining technical depth in ML infrastructure with the chance to shape the future of AI technology. You'll be working in either Sunnyvale, CA or Seattle, WA, joining a team that's pushing the boundaries of what's possible in artificial intelligence and machine learning.