Microsoft bets on Artificial Intelligence as the next growth opportunity for the company. Bing, Cortana, Office 365 and MS Research are in the forefront in applying Deep Learning to Natural Language Processing, Speech and Image recognition. Try typing "most popular baby names" or "fastest growing city" into Bing – you will experience Deep Learning at play first-hand. The AI Infrastructure team is tasked to deliver next generation Deep Learning infrastructure, so that data scientists from Azure customer base, Bing, Cortana, Office 365 and MS Research can enrich their target customers experience with the magic of AI.
As a team, we adopt a culture of meritocracy, bias towards taking big risks and failing fast, and value hacking together. You will join a team of talented infrastructure DevOps to embrace Docker, Kubernetes, TensorFlow, CNTK and High-Performance Compute (HPC), engage AI GPU and high-speed connect hardware vendors, actively participate and contribute back to Open Source communities. Most importantly, you will have unique opportunities in engaging data scientists who work on the bleeding edge of deep learning, and practice "know your customers better than they know themselves".
If you are a hard-core DevOp who is passionate about Cloud Infrastructure and Deep Learning, you should join us. A potential candidate must have : BS in computer science or related software engineering fields. 3 + years in commercial software development. Proficient in either Python, C++, Java, Scala or C#. Strong software engineering fundamentals (data structures, algorithms, object-oriented design, parallel programming). Experience with distributed systems design and implementation, especially microservices architecture, and experience with cluster scheduling technologies like Hadoop Yarn, Kubernetes,