Sunnyvale, CA, United States
Sep 21, 2021
The Microsoft News & Feeds team is looking for a passionate Data & Applied Scientist to join the Community and Growth team. The team is working on the frontier of transforming the News & Feeds product to a user and contributor centric experience, by building a vastly connected network of users and content creators, as well as driving sustained user and engagement growth via social mechanics. We are a full stack team with the end-to-end expertise to power through the full product development cycle.
Working in the team, you have the potential to define the future of personalized content services and products for Microsoft. Imagine billions of users around the world can discover content creators they love, connect and engage with their communities in meaningful ways, and start new conversations with their friends, family and colleagues. Today, Windows has close to 1 billion monthly active users, and Outlook, Teams, Edge, and Bing also have hundreds of millions of users plus partnership with third parties. This presents a huge opportunity to build delightful and habit-forming experiences for users worldwide.
Lead and participate in design, implementation, and execution across a variety of features regarding machine learning, ranking and recommendation.
Drive innovations in machine learning applications, ranking and recommendation algorithms.
Invest in others’ growth, mentor team members, and help build a highly capable team.
Regularly communicate team progress internally and evangelize progress and opportunities to a wider audience includingmanagement and leadership.
Tech lead or manage a team of ML/data scientists.
BS/MS in Computer Science, Statistics, Applied Mathematics, Operation Research, Automation, Physics, or other engineering or science fields
7 years industry experience in related fields OR PhD with 5 years industry experience.
5 years of industry experience with C#/C /Java/Python/Scala or any other OOP skills with a good knowledge of Data Structures/Algorithms.
Minimum of 3 year industry experience in machine learning, deep learning, ranking, recommendation and/or related fields.
PhD with research experience in machine learning, deep learning and/or related fields.
Minimum of 1 year industry experience tech leading and/or managing a team of ML/data scientists.
Industry experience developing end to end ML/DL systems.
Have publications at peer-reviewed DS/AI conferences (e.g. KDD, CIKM, SIGIR, NIPS, CVPR, ICML, ICLR, ICCV, and ACL).
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 (****.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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