Software Development Engineer, ML_AI

Join AWS SageMaker team to build ML-distributed systems for deploying Generative AI models at scale. SageMaker is a fully managed service enabling customers to prepare data and build, train, and deploy machine learning models. The role focuses on the SageMaker Inference Platform, which helps customers deploy ML models for high-throughput, low-latency CPU/GPU/Inferentia workloads.

As a Software Development Engineer, you'll be working on solving core infrastructure problems for Generative AI inference serving, impacting both internal and external AWS customers. The team values work-life balance and offers flexibility in working hours. You'll be involved in the complete development lifecycle, from design to delivery, working with cutting-edge ML technologies.

The position offers competitive compensation ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. You'll join a diverse and inclusive culture with employee-led affinity groups and ongoing learning experiences. This is an excellent opportunity to make a significant impact in the rapidly growing field of Generative AI while working with one of the world's leading cloud providers.

Key responsibilities include designing scalable ML systems, implementing robust solutions, mentoring junior engineers, and maintaining high engineering standards. The role requires strong technical expertise in software development, system architecture, and a passion for machine learning technologies.