Frontend/UI Engineer, Amazon SageMaker, AWS Machine Learning Platform

Job description

DESCRIPTION

Interested in Machine Learning, and empowering the world to do more and better machine Learning? With Amazon SageMaker, Amazon Web Service's (AWS) Machine Learning platform team is building customer-facing services to catalyze data scientists and software engineers in their machine learning endeavors. This product is a blend of HTTP API's, low and high-level SDK's, and an AWS Console UI. .

As part of the ML Platform Frontend team, you will design, implement, test, document, and deliver the user experiences for our new AWS machine learning services. This can involve innovative UI's and further down the stack at the webserver/API layer. You'll assist in gathering and analyzing business and functional requirements, and translate requirements into technical specifications for robust, scalable, supportable solutions that work well within the overall system architecture. You will serve as a key technical resource in the full development cycle, from conception to delivery and maintenance. You will produce comprehensive, usable software documentation; recommend changes in development, maintenance and system standards. You will own delivery of entire piece of the system and serve as technical lead on complex projects using best practice engineering standards, and hire/mentor junior development engineers.

We're moving fast, and this is a great team to come to to have a huge impact on AWS and the world's customers we serve!

Desired profile

BASIC QUALIFICATIONS

· Bachelor's Degree in Computer Science or related field
· Computer Science fundamentals in object-oriented design
· Computer Science fundamentals in data structures
· Computer Science fundamentals in algorithm design, problem solving, and complexity analysis
· Proficient in JavaScript (and modern frameworks), CSS, and HTML.
· Proficiency in, at least, one modern programming language such as Java, Python, Scala, C++, or C#.