SDE, AWS SageMaker Distributed Training Platform Amazon
Seattle, WA

Job Description

Interested in engineering world's best Machine Learning service on AWS? Join us to make Amazon the best place in the world to do ML.

Our mission is to facilitate productionalization of Machine Learning models easier for different classes of users ranging from ML experts to developers without ML knowledge.

Amazon's machine learning platform team currently supports various services inside of the company and under AWS. Please take a look at https://aws.amazon.com/sagemaker/

You will work in the company of world experts and there are immense learning as well as growth opportunities.

You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. 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.