Amazon SageMaker Studio is revolutionizing machine learning development as the world's first fully integrated ML-focused IDE. As a Senior Software Development Engineer, you'll join a dynamic team building the future of ML development tools. The role involves creating and enhancing IDE support for various development languages and ML technologies, working with cutting-edge frameworks like TensorFlow and PyTorch.
You'll be responsible for the core notebook authoring experience and IDE functionality, ensuring data scientists and ML practitioners have a seamless development environment. The position offers the opportunity to work on highly scalable distributed services, collaborate with ML teams, and implement sophisticated algorithms for cloud-based engines.
The team values work-life balance and fosters an inclusive environment that celebrates knowledge sharing and mentorship. You'll be part of AWS's larger mission to make ML development accessible and efficient, working in an Agile environment with opportunities for career growth and learning.
The compensation package is competitive, ranging from $129,300 to $223,600 based on location, plus equity and comprehensive benefits. This role combines technical expertise with innovation, making it ideal for engineers passionate about ML and IDE development who want to impact how machine learning solutions are built globally.