Sr. ML Architect, SSG Science

Amazon Devices is seeking a Senior ML Architect to join their innovative team developing next-generation SOCs for machine learning-enabled consumer products. This role sits at the intersection of hardware architecture and machine learning, focusing on developing revolutionary chip architectures for Amazon's diverse product lineup including Kindle, Fire, Echo, and Astro devices.

The position requires deep expertise in both machine learning and hardware architecture, with responsibilities spanning from analyzing deep learning workloads to implementing new hardware architectures. You'll work closely with a cross-functional team of compiler engineers, model developers, and product teams to optimize ML workloads for Amazon's Neural Edge Engine.

As a Sr. ML Architect, you'll be instrumental in shaping the future of Amazon's ML hardware acceleration strategy, delivering architectures that enable efficient execution of complex ML workloads on consumer devices. The role offers a unique opportunity to impact millions of customers through Amazon's popular device lineup while working with cutting-edge ML and hardware technologies.

The ideal candidate brings a combination of strong ML expertise and hardware architecture experience, with either a PhD or Master's degree plus significant applied research experience. You'll need demonstrated experience with neural deep learning methods and programming proficiency in languages like Python, Java, or C++.

This position offers competitive compensation ranging from $150,400 to $260,000 based on location, plus equity and comprehensive benefits. You'll be joining one of the world's most innovative companies, working on projects that directly impact how millions of customers interact with Amazon's devices.