We are looking for an experienced software developer to develop, optimize and deploy various open-source deep learning frameworks in the AWS infrastructure for Amazon-internal and external customers.
If you are passionate about building deep learning infrastructure that utilizes core computer science and engineering skills like operating systems, distributed systems, high-performance computing, and AWS infrastructure, we would like to talk to you.
You will have exciting and challenging responsibilities like:
· Learn, use and optimize performance of advanced technologies, viz. Data Science and Deep Learning frameworks like Anaconda, MXNet, TensorFlow, Caffe2, CNTK, Pytorch, Keras, etc., Distributed Systems, Cluster Managers, Docker, Jenkins, etc.
· Create innovative products using advanced technologies, and see them launched in high-volume production within Amazon and with Amazon customers.
· Collaborate with internal engineering teams, technology companies around the world and open source community.
This position within the Machine Learning team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product and the business. A successful candidate will bring deep technical expertise in operating systems, distributed systems, high-performance computing and AWS infrastructure, with the ability to work within a fast moving, startup environment in a large company to rapidly deliver critical deep learning infrastructure features that will have a broad business impact.

· PhD or Master's Degree in Computer Science or Engineering.
· 3+ years of software development, validation and deployment experience.
· 2+ years of experience in programming parallel and distributed systems, debugging low-level problems, performance analysis and optimizations.
· Deep technical expertise in operating systems, distributed systems, high-performance computing and cloud infrastructure.

· 5+ years of experience in commercial software development experience.
· Familiar with Python or programing languages used in Machine Learning.
· Experience with Machine Learning or Deep Learning frameworks and applications.
· Experience contributing to open-source projects.