Amazon SageMaker Studio is revolutionizing machine learning development as the world's first fully integrated ML-focused IDE. This senior software engineering role offers an exciting opportunity to shape the future of machine learning development tools at AWS.
As a Software Development Engineer on the SageMaker Studio IDE team, you'll be at the forefront of building and supporting state-of-the-art integrated development environments. The position involves creating sophisticated tools that enable data scientists, developers, and students to perform ML development activities including notebooks, experiment management, model creation, debugging, and deployment.
The role combines technical expertise with innovation, requiring you to translate complex business requirements into scalable solutions. You'll work with cutting-edge ML technologies and frameworks like TensorFlow, PyTorch, and Apache MXNet. The position offers significant ownership and impact, as you'll be responsible for core system features and architectures that power Amazon's ML development ecosystem.
Amazon provides an inclusive and supportive environment, emphasizing work-life balance and professional growth. The company offers competitive compensation ($129,300-$223,600 base salary range), comprehensive benefits, and the opportunity to work with talented professionals across the globe. The team culture promotes knowledge sharing, mentorship, and career development, making it an ideal place for ambitious engineers looking to make a significant impact in the ML/AI space.
Working at AWS means joining a team that values diversity, innovation, and customer obsession. You'll be part of a group that celebrates knowledge sharing and supports professional growth through mentorship and challenging projects. The role offers the perfect blend of technical challenge, creative freedom, and the opportunity to shape the future of machine learning development tools.
If you're passionate about building developer tools, interested in machine learning, and want to work with a team that's defining the future of ML development environments, this role offers an exceptional opportunity to make your mark in this rapidly evolving field.