About Office 365 Substrate: Powering Office 365 Services and Analytics We are the Microsoft 365 Substrate team, the engine that powers Office 365 and many other critical products within Microsoft Cloud. Office 365 is the largest collaboration service in the world with 100s of millions of consumer/enterprise mailboxes, documents and conversations, it represents the world's largest platform of human collaboration for personal, business and educational use. We are a massively distributed cloud service with O(exabyte) data handled by O(300K) servers in O( 300) data-centers around the entire globe. By incorporating machine learning techniques and data analytics into the services we deliver, we enable highly personalized, self-learning experiences and suggestions that make each user be more productive every time they use the service. As part of this team, we have bold goals: we want to build AI/ML scenarios and platform with cutting edge tech that encompasses data collection, feature engineering,
Key Responsibilities: Lead a team of applied scientists, data scientists and engineers that are building AI/ML scenarios and platforms in O365. Work with Customer-focused with a commitment to high quality end to end services through livesite and quality-first culture Work independently and collaboratively with other research and product teams across Microsoft to build end-to-end intelligent office experiences involving machine reading comprehension, enterprise knowledge base and knowledge graph systems, semantic experiences etc. Design and lead implementation of complex systems involving many,
Qualifications: Familiarity with machine learning and NLP frameworks such as Scikit Learn, Spark, NLTK, CNTK, PyTorch or Tensor Flow. Solid experience and understanding in all the areas of the Machine Learning Model Life Cycle Competent in ML platform architecture, the problems that each individual component and the overall system aims to solve, and a vision for the future of ML infrastructure. Skill and Experiences in Data science, Natural Language Understanding, Machine Learning, Deep Learning, Reinforcement learning Strong coding and development skills. Ability to effectively deal with ambiguity