Interested in making an impact on the Machine Learning and AI ecosystem? As an SDE on the Amazon SageMaker Notebooks team, you’ll own the Notebook authoring and data scientist IDE experience for AWS ML. Your team's mission is to provide a highly scalable and collaborative data science workbench where any data scientist, developer, or student can launch a wholly configured and collaborative workspace in the cloud. Engineers on this team get to: · Engage with the maintainers of Jupyter/JupyterLab, nteract, etc. and make meaningful contributions to keep SageMaker on the cutting-edge. · Support online ML education providers (e.g., fast.ai, Udacity) to develop the next generation of ML engineers. · Develop in multiple layers of the stack including distributed workflows, network architecture, system security, and frontend/browser development. · Develop/maintain operational rigor for a fast-growing AWS service. Key Responsibilities: · Work closely with senior and principal engineers to architect
· Bachelor’s Degree in Computer Science or related field. · Equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education · Computer Science fundamentals in object-oriented design, data structures, algorithm design, problem solving, and complexity analysis. · 2+ years professional experience in software development. · Proficiency in, at least, one modern programming language such as Java, Python, JavaScript/TypeScript, C#.· Machine learning knowledge and experience. · Active engagement with an open source community. · Experience building tools for