Join Microsoft FUSE group under E and D in Office 365 to build a world class machine teaching platform to enable developers with no machine learning expertise to build custom classifiers and extractors for text, images or speech signals. Machine teaching provides a big market opportunity to have developers and domain experts build very smart applications like chatbots, virtual assistants and semantic search. Machine teaching allows developers to provide their domain knowledge in the form of schema, labels and features while the platform hides the details of the machine learning algorithm and the training pipeline. The machine teaching platform also enables developers to manage the model building lifecycle, improve the models over time based on real traffic and provides guidance on how to improve the models. The Language Understanding Service (LUIS) on Cognitive Services is powered by the machine teaching technology. This service lets developers extract information from conversational AI
Build a scalable backend infrastructure to build models for document understanding Run the dev-ops of the service Work closely with the CHIL team to ship new innovations
Required qualifications: 7+ years coding in C#, Java, Python or C++ 5+ years building scalable cloud services BS. or MSc. in computer science or engineering Preferred Qualifications: Strong design and coding skills with the ability to learn new languages, tools, and design patterns. Background or experience in Information Retrieval (IR) or Machine Learning (ML) is a plus. Experience in cloud platforms is a plus. Ability to work effectively both autonomously and in teams.