Software Development Engineer II, ML_AI

AWS Utility Computing (UC) is seeking a Software Development Engineer II to join their SageMaker AI team, focusing on making deep learning workload training accessible in the cloud. This role is at the forefront of building next-generation AI platforms to accelerate customer adoption of LLMs and Generative AI.

The position involves working with cutting-edge technology in large-scale deep learning model training, handling models with 100+ billion parameters and managing thousands of GPU devices. You'll be part of AWS's innovative team that provides foundational services like S3 and EC2, while continuously developing new product innovations that distinguish AWS in the industry.

As an SDE II, you'll be responsible for designing and implementing distributed machine learning systems that serve AWS's worldwide customer base. You'll work closely with ML engineers/scientists and customers, translating business requirements into technical solutions that scale effectively. The role demands strong technical abilities, excellent communication skills, and the ability to deliver results in a fast-paced environment.

The ideal candidate will thrive in an entrepreneurial environment, demonstrate strong ownership, and possess analytical leadership skills. You'll have the opportunity to collaborate with internal engineering teams, leading technology companies, and the open source community, including PyTorch and NVIDIA/GPU partnerships.

AWS values diverse experiences and provides extensive support for professional growth through mentorship, affinity groups, and career development resources. The company promotes work-life harmony and maintains an inclusive culture through various initiatives like Conversations on Race and Ethnicity (CORE) and AmazeCon conferences.

This position offers competitive compensation based on geographic location, with additional benefits including equity opportunities, sign-on payments, and comprehensive medical and financial benefits. Join AWS to have a significant impact on cloud computing and help shape the future of AI technology while working with some of the world's most innovative customers.