Who we are
We are the Microsoft Search and Intelligence 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 a pretty simple goal – to assist users in being more efficient: we want to build AI/ML scenarios and platform with cutting edge tech that encompasses data collection, feature engineering, model training, extensive experimentation, deploying, productization, and monitoring of machine learning models involving text, image, audio/video. Our scenarios require use of the latest machine learning, QnA, deep learning, NLU and NLP to improve and automate business process and generate knowledge and insight.
Do you like to work on the hardest problems in computing with the biggest user impact?
We are looking for an Applied Scientist to work on the AI/ML initiatives for scenarios that have a tremendous impact on the Office 365 business. The candidate should be knowledgeable in AI techniques, with a focus on problem-solving, rather than a particular method or tool kit. The candidate should be open to exploring various cutting-edge AI technologies and applying them on large scale data. The candidate has demonstrated experience helping build and ship machine-learning models to customers based on real-world scenarios.
Work with a team of applied scientists, data scientists and engineers that are building AI/ML scenarios in Office 365.
Be 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 experiences involving machine reading comprehension, enterprise knowledge base and knowledge graph systems, semantic experiences, etc.
Communicate complex topic to non-technical audiences
Understand the implications of complex business, legal, and regulatory issues on technology and technical deliverables.
Collaborate inside and outside the team, and across remote development locations
Have fun and learn new things
A PhD, in Computer Science, Applied Mathematics, Artificial Intelligence, Statistics or related subjects, or candidates with exceptional ML skills with a Master's degree
Understanding of state-of-the-art deep learning techniques, evidenced by a publication record in relevant conferences (e.g., NeurIPS, ICLR, ICML, ACL, EMNLP, …) or product development.
Hands-on experience with current frameworks (e.g., TensorFlow, NLTK, CNTK, PyTorch, or DyNet)
Practical experience and understanding in all the areas of the machine learning model life cycle
Solid coding skills in any OOP language
Strong theory/algorithmic background and good understanding on how to apply advanced knowledge to solve real problems
Prior experience on large scale data mining or internet-scale applications, will be a plus.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.