Machine Learning Engineer

The Artificial General Intelligence (AGI) team at Amazon is seeking a passionate and talented Machine Learning Engineer to drive the development of cutting-edge multi-modal and multi-lingual Large Language Models (LLM). This role offers an exciting opportunity to work at the forefront of AI technology, developing groundbreaking algorithms and modeling techniques using state-of-the-art hardware like GPUs and AWS Trainium.

As a key member of the AGI team, you'll have the chance to make a direct impact on customer-facing products and services through Generative AI innovations. You'll leverage Amazon's vast data resources and large-scale computing infrastructure to accelerate the development of multi-modal LLMs and other Generative AI applications. The position involves working with top minds in the field, pushing boundaries in deep learning and reinforcement learning.

The role combines technical expertise with strategic influence, as you'll help shape the future direction of AGI at Amazon. You'll be responsible for system architecture decisions and establishing best practices for high-quality infrastructure. Working in an Agile/Scrum environment, you'll collaborate with applied scientists to process massive datasets and optimize machine learning models.

This is a unique opportunity to join a team that's revolutionizing machine perception, interpretation, and interaction with humans and the physical world. You'll be part of developing hyper-scalable, general-purpose large model training and inference systems, while gaining valuable experience that will accelerate your career growth in the rapidly evolving field of artificial intelligence.

The position offers competitive compensation based on geographic location, ranging from $129,300 to $223,600 per year, plus additional benefits including equity, sign-on payments, and comprehensive medical and financial benefits. Join us in making history and shaping the future of artificial intelligence at one of the world's most innovative companies.