AWS Applied AI Solutions is advancing the frontier of visual reasoning and agentic AI technologies, developing sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels. As a Machine Learning Engineer II, you'll be at the forefront of developing next-generation visual reasoning systems, working at the intersection of computer vision and large language models.
The role involves tackling fundamental challenges in visual reasoning that combine advanced generative AI and agentic frameworks. You'll be investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Your responsibilities will include implementing agentic AI frameworks, developing token compression techniques, and building efficient inference pipelines.
Working in a collaborative environment, you'll partner with Applied Scientists to advance state-of-the-art while ensuring solutions meet rigorous requirements for accuracy, latency, and cost. The position offers significant opportunities for growth through knowledge-sharing and mentorship, supported by AWS's commitment to continuous innovation and inclusive team culture.
The ideal candidate brings strong software development experience, expertise in machine learning frameworks, and a deep understanding of distributed systems. You'll be part of AWS's mission to pioneer cloud computing and drive innovation, working on cutting-edge AI technologies that power breakthrough applications across multiple industries.
AWS values diverse experiences and provides comprehensive benefits including medical coverage, work-life harmony, and career development opportunities. Join a team that's shaping the future of visual AI technology while enjoying the stability and growth potential of working at the world's leading cloud platform provider.