Microsoft is in a great position to bring AI to every audience we serve – from developers to businesses to any person searching for the right answers or help. We are infusing AI into our Microsoft products like Windows and Office, so people can get the most from their experiences and we are building a comprehensive and open AI platform that helps our partners and developers to bring AI to life. The AI Infrastructure team is helping accelerate such transformation and more than ever, our role is pivotal to the successful reinvention of Microsoft. Are you ready to be part of this journey and contribute to one of the key strategic pillars for the company?
This position is for an engineer focused on powering the Azure Machine Learning Services effort, responsible for developing technologies to ensure data scientists can move rapidly from idea, to experimentation, to delivering results. We are running dozens of services in the cloud, supporting Microsoft data scientists and provide rich machine learning capabilities to Azure users. We also leverage the most modern development processes in the industry (git, cloud build, etc.) releasing updates daily, and deploying our services globally on renowned technology layers (Kubernetes containers running Linux,
A minimum of a Bachelor's degree in Computer Science or Engineering, or a related field, or equivalent alternative education, skills, and/or practical experience is required. 7+ years of professional software engineering experience in building large-scale distributed systems. Knowledge of building high performance, highly available, reliable, distributed server/services software. Demonstrated ability to come up-to-speed quickly on new technical domains is also required. Demonstrated ability to write programs using a high-level programming language like: C#, C++, Python is required. Experience with