Machine Learning is changing how Amazon operates, from Drones, Robotics to stores without checkout lines. The CoreML team is a unique center of excellence, working on solving challenging ML problems across Amazon. Are you passionate about Deep Learning, Machine Learning and Artificial intelligence?
The team is part of the Apache MXNet developer community. Apache MXNet is an open-source, deep-learning framework, endorsed by Amazon Web Service (AWS). Enabling the smooth delivery and continuous integration of MXNet on a variety of operating systems and hardware platforms will be the core responsibility of this role.
In your role, you take responsibility for the conception, implementation and automation of IT systems and thus guarantee an end-to-end support of the development team. This development team comprises primarily of the open-source community backing MXNet. You are responsible for the process of deploying the infrastructure components and are actively supporting the installation, configuration and maintenance of your solutions.
During development and commissioning, you ensure the technical quality of the implemented solution. In doing so, you pay particular attention to compliance with security standards, the provision of a stable system, careful documentation and keep computation spend in mind. You advise and coach the development and scientists team in topics relating to infrastructure, scheduling, monitoring and deployment. Additionally, you will provide the community with tools to measure and improve power usage as well as Deep Learning model performance specifically on Edge devices. This includes power usage monitoring & deep learning model performance tracking over time.
We are looking for an outstanding individual who combines superb technical, communication, and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. If you are "Find it, Fix it, Automate it, Never worry about it again" kind of engineer, you will enjoy our fast growing innovative environment.
You are comfortable working with a team of software development engineers and applied scientists to raise the bar of the delivery of MXNet. Given the cross Amazon nature of our products and this particular setting within an Apache Incubator project, you should be highly self-motivated and self-directed having good cross-team collaboration skills.
The ideal candidate for our team is a thinker and a doer: someone who embraces infrastructure and automation, and is motivated by the prospect of engineering excellence balanced with a healthy sense of pragmatism.