Join the Artificial General Intelligence (AGI) team at Amazon, where you will have the opportunity to work on the development of innovative multi-modal and multi-lingual Large Language Models (LLM). As a vital member of our team, your role as a Software Development Engineer (SDE) or Machine Learning Engineer (MLE) will allow you to lead advancements in algorithms and modeling techniques that will redefine large model training. Your contributions will not only push the boundaries of AI but will also create significant impacts on our customer's experiences through transformative products and services powered by Generative AI. In this role, you will: Quickly learn and apply cutting-edge technologies and algorithms in Generative AI. Develop and maintain key platforms for creating, evaluating, and deploying LLM in practical applications. Collaborate with team members to explore design approaches, prototype new technologies, and assess technical feasibility. Work closely with Applied Scientists to manage massive datasets and optimize machine learning models. As a member of the AGI team, you will play a pivotal role in: Leading the development of novel algorithms that leverage the latest GPU technology. Impacting our customers through innovation in Generative AI applications. Utilizing Amazon's vast data sources and computational resources to advance multi-modal language models. Influencing the overall strategy and future direction of AGI at Amazon. This is more than a job; it's an exhilarating opportunity to shape the future of artificial intelligence. You will thrive in an Agile/Scrum environment, working alongside the brightest minds in the field, and your insights will help define best practices ensuring a world-class infrastructure. Basic Qualifications: 3+ years of professional software development experience. 2+ years of design or architectural experience in developing new and existing systems. Proficiency in at least one programming language. Preferred Qualifications: Experience with the full software development lifecycle. Master's degree in computer science or a related field. Expertise in techniques for improving GPU utilization and efficient memory management. As you embark on this unique journey with the AGI team, you will be at the forefront of AI, collaborating with experts and gaining invaluable experience. This is your chance to make history and have a profound impact on the world through your work in artificial intelligence. Amazon is an equal opportunity employer. We promote an inclusive culture that empowers employees to achieve exceptional results. Please visit our careers page for detailed information on benefits and other employment resources.