Python ML Engineer, Experiment Management at Amazon
Python ML Engineer, Experiment Management Details
June 19, 2019, 4:33 a.m.
Software Development
Amazon AI
Seattle, Washington
Learning platform team Machine Learning, and
Interested in Machine Learning, and empowering the world to do more and better machine Learning? 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. Experiment Management covers languages and frameworks that data scientists work with SageMaker, with the goal of providing a world class user experience. This includes a suite of open source projects that make it easier to use SageMaker from popular ML Frameworks. Below are the GitHub projects we have (and more to come!): 1. https://github.com/awslabs/amazon-sagemaker-examples 2. https://github.com/aws/sagemaker-python-sdk 3. https://github.com/aws/sagemaker-spark You will design, implement, test, document, and support cross-cutting services to help customers do machine learning at scale. You'll assist in gathering
· 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 · Computer Science fundamentals in object-oriented design · Computer Science fundamentals in data structures · Computer Science fundamentals in algorithm design, problem solving, and complexity analysis