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The Microsoft Search and Intelligence team is responsible for enabling intelligence in Microsoft products like Outlook, Bing, Windows, and Cortana. We research & develop natural language processing & machine learning infrastructure to process billions of emails and documents a day extracting key inferences & knowledge, serving several powerful intelligent experiences to billions of users guiding them and their organizations make smart decisions.
You would be part of a team working to modernize the way users discover, navigate and search across their organization’s Office365 corpus and help make them more productive. We strive to break down the barriers of traditional search and instead offer the most relevant and contextual based suggestions to help users discover the content they are looking for, spanning their Contacts, Emails, Documents and their organization’s data. We work very closely with the Office 365 team to guarantee user privacy and compliance while also offering users a robust set of experiences that help them find what they are looking for.
We are looking for highly motivated, and innovative software engineers who are passionate about building distributed systems to deploy and serve machine learning, classification, and language translation-based end to end solutions.
You will work with a team of applied scientists and developers who are responsible for all stages of the research & development cycle including early ideation, design, implementation and scaling it internationally. You will be expected to work on many levels – from high level vision, to design and implementations of both self-contained components and large, team-oriented code bases. Your coding skills will be challenged writing scalable, distributed, and highly efficient components. You will also be responsible for monitoring live site to ensure rock-solid availability.
Your responsibilities will include shipping large-scale backend services that host complex models and algorithms to process critical user data. You will also be involved in developing offline processes to monitor, extract, index and build ML & NLP models. Collaborating with other engineers to build demos and apps to showcase these services is one of the ways in which you will be able to contribute new ideas. The development process is driven by gathering implicit signals from real users through online experimentation to learn and iterate on the next improvements in the product.
You will also have the opportunity to participate in frequent hackathons that allow you to work with many different teams around the world. The goal is to pursue high impact work to quickly deliver on critical areas that our users value, by delivering high quality features in a highly collaborative team environment.
- You should have strong software design and development background with C#, C++ or Java (or similar languages like Python) with at least 7 years of experience.
- A BSc degree (or equivalent) in Computer Science (or related fields like Electronic Engineering, Physics or Mathematics) is required. An MSc or PhD is not required, but a passion for continuously learning new skills and techniques is.
- You must have strong programming and algorithm design skills and real passion for data driven decision-making.
- Proven experience working on large scale web services would help you get started, while experience or interest in natural language processing, machine learning, deep learning, or data mining area a big bonus.
- You also need strong verbal and written communication skills with excellent interpersonal communication and collaboration skills.
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.