Amazon's Artificial General Intelligence (AGI) Foundations team is seeking an exceptional Senior Machine Learning Engineer to spearhead the development of cutting-edge multimodal AI systems. This role presents a unique opportunity to work at the forefront of artificial intelligence, specifically focusing on Large Language Models (LLMs) and Generative AI.
The position offers an exciting blend of technical leadership and hands-on development, where you'll be responsible for advancing the state of the art in multimodal systems. You'll have access to Amazon's vast computational resources and heterogeneous data sources, enabling you to push the boundaries of what's possible in AI development.
As a senior engineer, you'll lead the development of novel algorithms and modeling techniques, working closely with applied scientists to scale pre-training workflows and optimize model performance. The role requires expertise in distributed training techniques and frameworks like FSDP, NVIDIA NeMo, and Megatron Core.
The compensation package is highly competitive, ranging from $151,300 to $261,500 per year, depending on location, plus additional benefits including equity and sign-on payments. You'll be joining a dynamic team in the San Francisco Bay Area, working on projects that directly impact Amazon's customers and the future of AI technology.
The ideal candidate will bring 5+ years of software development experience, strong leadership capabilities, and deep expertise in machine learning. You'll need to demonstrate exceptional technical skills, strong communication abilities, and a track record of delivering high-quality products in fast-paced environments.
This role offers the opportunity to:
If you're passionate about artificial intelligence, have strong technical leadership skills, and want to be at the forefront of AGI development, this role offers an exceptional opportunity to make a significant impact in one of the world's leading technology companies.