The Generative AI Innovation Center at AWS is at the forefront of empowering customers to leverage AI technologies for transformative business opportunities. As a Machine Learning Engineer, you'll join a multidisciplinary team of strategists, scientists, engineers, and architects working directly with customers across industries to fine-tune and deploy customized generative AI applications at scale.
Your role will focus on driving the development of custom Large Language Models (LLMs) across various domains and modalities. You'll be responsible for implementing distributed training pipelines, fine-tuning state-of-the-art LLMs, and optimizing models for high-performance deployment on AWS's custom AI accelerators. This position offers a unique opportunity to work with cutting-edge AI technology while directly impacting AWS's top clients.
The role combines technical expertise in machine learning with practical business application, requiring both strong programming skills and the ability to collaborate with enterprise customers. You'll work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing both performance and efficiency. The position offers significant growth potential within AWS's innovative culture, with access to mentorship, knowledge-sharing, and career advancement resources.
AWS values diverse experiences and maintains an inclusive team culture, supported by employee-led affinity groups and ongoing learning experiences. The company emphasizes work-life harmony and provides comprehensive benefits including medical coverage and career development opportunities. This role is ideal for someone passionate about AI innovation who wants to work at the intersection of cutting-edge technology and practical business solutions.