Software Development Engineer II, ML_AI

AWS Utility Computing (UC) is at the forefront of cloud innovation, providing foundational services like S3 and EC2. This role is specifically within Amazon SageMaker AI, focusing on making deep learning workloads in the cloud accessible and efficient. As customers increasingly adopt LLMs and Generative AI, we're building the next-generation AI platform to accelerate their development.

As an SDE II, you'll be instrumental in designing and implementing distributed machine learning systems that serve our global customer base. You'll work directly with ML engineers, scientists, and customers on training cutting-edge AGI and Amazon Q models. The role combines technical expertise with leadership, as you'll be responsible for system architecture decisions and mentoring junior engineers.

The position requires strong technical abilities, particularly in Python, TypeScript, and multi-threaded asynchronous C++/Go development. Experience with resource orchestrators like Kubernetes, high-performance computing, or large language model training is highly valued. You'll be working on building platform and products for large-scale deep learning model training, handling models with 100+ billion parameters across thousands of GPU devices.

AWS offers a comprehensive benefits package, including medical and financial benefits, along with significant opportunities for career growth and mentorship. The company strongly values work-life harmony and maintains an inclusive culture through employee-led affinity groups and ongoing learning experiences.

This is an opportunity to join a team that's directly impacting AWS's future and the broader cloud computing industry. You'll be working with cutting-edge AI technology while collaborating with internal teams, leading technology companies, and the open-source community. The role offers competitive compensation ranging from $129,300 to $223,600 based on location and experience, plus additional benefits and equity opportunities.