Member of Technical Staff - Software Engineer - ML Infrastructure, AGI Autonomy

Amazon has launched an innovative research lab in San Francisco focused on developing foundational capabilities for useful AI agents. The lab combines large language models (LLMs) with reinforcement learning (RL) to tackle complex challenges in reasoning, planning, and world modeling across virtual and physical environments. As part of Amazon's broader AGI organization, which recently introduced Amazon Nova, this small but talent-dense team operates with significant autonomy while leveraging Amazon's extensive resources and scale.

The role offers an opportunity to work on cutting-edge AI technology in a fast-paced environment where you'll contribute directly to AI agent development. You'll be developing industry-leading tools for model training, evaluation, and other key research workflows. The position requires strong software development skills and offers exposure to advanced machine learning concepts and GPU infrastructure optimization.

The compensation is highly competitive, ranging from $120,000 to $350,000 based on location and experience, plus additional benefits and potential equity. This is an excellent opportunity for experienced engineers who want to work at the forefront of AI development while having the backing of one of the world's leading tech companies. The role combines the agility of a research lab with the resources and impact potential of Amazon's global scale.

Working in San Francisco, you'll be part of a team that's helping to redefine what's possible with AI, particularly in the realm of practical applications that enhance customer productivity and experience. The position offers significant growth potential and the chance to shape the future of AI agent technology.