SDE, AWS SageMaker Distributed Training Platform at Amazon
SDE, AWS SageMaker Distributed Training Platform Details
May 20, 2019, 6:35 a.m.
learning platform team Machine Learning service
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
· 3+ years of non-internship professional software development experience · Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design · 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems. · Bachelor’s Degree in Computer Science or related field or equivalent work experience · Strong computer science fundamentals - data structures, algorithms design, complexity analysis, operating systems etc. · Object-oriented design proficiency · Strong analytical