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 working on cutting-edge LLM development and optimization. The role involves designing distributed training pipelines, customizing models for various domains, and optimizing performance on AWS Silicon. You'll collaborate directly with enterprise customers and model providers to develop tailored AI solutions.
The position offers unique opportunities to work with state-of-the-art AI technologies while solving real-world challenges at scale. You'll be responsible for implementing sophisticated training pipelines using tools like FSDP and DeepSpeed, fine-tuning models with techniques including RLHF, and optimizing deployments for AWS's custom AI accelerators.
AWS provides a collaborative environment focused on work-life harmony and inclusive culture. The team values diverse experiences and offers extensive opportunities for professional growth through mentorship, knowledge-sharing, and career development resources. You'll be part of AWS's mission to pioneer cloud computing innovation while working with top enterprise clients on next-generation AI solutions.
The role combines technical depth in machine learning with practical business impact, requiring both strong engineering skills and customer collaboration abilities. You'll have access to AWS's comprehensive cloud platform and custom hardware accelerators while working alongside experts in AI/ML, cloud architecture, and business strategy.