Software Development Engineer 2, Amazon SageMaker ML Frameworks, AWS AmazonAI Machine Learning Platform at Amazon
Software Development Engineer 2, Amazon SageMaker ML Frameworks, AWS AmazonAI Machine Learning Platform Details
Feb. 25, 2019, 7:08 a.m.
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. The ML Frameworks builds bridges from the 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
· 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 · Proficiency in, at least, one modern programming language such as Java, Python, C++, C#, Perl· Experience building complex software systems that have been successfully delivered to customers · Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards,