Interested in Machine Learning? As the SDE on the SageMaker UI team, you’ll get to work on: 1. The SageMaker Management Console (https://console.aws.amazon.com/sagemaker ) This is one of AWS' largest consoles, and we're not slowing down! The baseline requirement is to keeps parity with SageMaker's rapidly expanding HTTP API's, but we'll push to also develop unique experiences for SageMaker metadata that are only possible in a browser or mobile device. You own our webservers and the bytes they vend, including the design, testing, continuous deployment, operations, usage analytics, and customer support. 2. Custom UI/widgets for AWS ML's Notebook authoring and data scientist IDE experience From a browser, we're making a highly scalable and collaborative data science workbench so a data scientist, developer, or student can launch a wholly configured and sharable workspace in the cloud. Key Responsibilities: · Work closely with senior engineers, UX designers, and product managers to develop
· 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 · 2+ years professional experience in software development. · Experience with modern programming languages (Java, C#, Python) and open-source technologies. · Experience with web/mobile technologies (e.g., JavaScript/TypeScript, NodeJS, React, WebPack, HTTP mechanics/performance).· Experience building tools for data scientists or developers. · Attuned design sense so can collaborate with UX designers and hold a high bar with “backend”