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, leveraging Amazon's vast computing resources and diverse data sources.

As an MLE on the AGI team, you'll be responsible for developing groundbreaking algorithms and modeling techniques for large model training using advanced hardware like NVIDIA GPUs and AWS Trainium. Your work will directly impact customers through products and services powered by Generative AI innovations. You'll have the opportunity to shape the future direction of AGI at Amazon while working with top minds in the field.

The position involves working with massive datasets, scaling machine learning models, and optimizing performance. You'll collaborate with Applied Scientists to process data and implement efficient solutions. The role requires expertise in cutting-edge technologies and algorithms in Generative AI, with a focus on building and deploying LLMs for real-world applications.

Working in an Agile/Scrum environment, you'll contribute to the development and maintenance of key platforms for LLM development, evaluation, and deployment. The role offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits including equity and sign-on bonuses.

This is a unique opportunity to join Amazon's AGI team and work at the forefront of artificial intelligence, collaborating with industry experts in deep learning and reinforcement learning. The team's mission is to leverage hyper-scalable systems to develop cutting-edge sensory AI foundational models that revolutionize machine perception and interaction.