Machine Learning Engineer, Amazon General Intelligence (AGI)

Amazon's Artificial General Intelligence (AGI) team is seeking an exceptional Software Development Engineer/Machine Learning Engineer to spearhead the development of cutting-edge multi-modal and multi-lingual Large Language Models (LLM). This role presents a unique opportunity to work at the forefront of AI innovation, leveraging Amazon's vast computing resources and diverse data sources.

The position involves developing groundbreaking algorithms and modeling techniques for large model training using advanced hardware like NVIDIA GPUs and AWS Trainium. You'll be responsible for creating and maintaining crucial platforms for LLM development, evaluation, and deployment in real-world applications. The role requires collaboration with applied scientists to process massive datasets and optimize machine learning models.

As a key member of the AGI team, you'll have significant influence on Amazon's overall AI strategy, working alongside top minds in deep learning and reinforcement learning. The team's mission focuses on developing hyper-scalable, general-purpose large model training and inference systems for revolutionary sensory AI foundational models.

The ideal candidate brings 3+ years of software development experience, strong architectural design skills, and expertise in GPU optimization and memory management. You'll work in an Agile/Scrum environment, contributing to high-quality software development while pushing the boundaries of what's possible in artificial intelligence.

This position offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. Join us in shaping the future of artificial intelligence and creating transformative technologies that will impact millions of customers worldwide.