Principal Applied Science Manager Microsoft
Bellevue, WA

Job Description

We are the Bing Core Relevance team responsible for retrieving and ranking organic results for given search queries from hundreds of billions of indexed web documents. On top of that, we are also aggressively evolving Bing search engine from key word search centric system to a set of more general intelligence (AGI) capabilities that can help solve broader intent fulfillment, knowledge retrieval and task completion problems.

Are you looking for opportunities to deliver innovations to tens of millions of users every month that impact their daily life? Do you want to be part of a fast-cycle, high visibility and hardcore search team with ambitious goals and intensive competitions? We are hiring extremely talented, highly motivated and productive developers with expertise in information retrieval, AI, machine learning, natural language processing, data mining and large scale distributed computation.

We are looking for a seasoned technical leader and manager for our tail ranking team, who has deep technical expertise in machine learning, deep learning, and natural language processing with an ability to drive direction for the team. In this role your core responsibility would include leading a team of engineers and data scientist working to state of the art machine learning and deep learning problems to drive search relevance. You would have an opportunity to impact high value search segments such as deep or fresh queries. We have an ambitious path ahead of us to further accelerate our growth. In this role you would be working with state-of-the-art machine learning, deep learning and NLP techniques with access to large scale data.

* Working knowledge of current deep learning modeling and experimentation techniques.
* PhD-level qualification in machine learning or a related area, such as math or physics.
* Strong Coding, Math, Analytical & Problem Solving skills.
* Prior experience of leading a team with 5+ Scientist & Engineers.
* Having published work in this area would be a strong plus.

Preferred Qualifications:

* Experience in natural language processing, machine leaning, deep learning or data mining area
* Experience on running high reliable service
* Experience with test driven software design/development
* Enjoy learning and ramping up on new technologies quickly.

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.

Our goal is to delight our users by satisfying their intent expressed through their queries.

Our core drivers are large scale machine learning, including DNN and RNN based technologies, along with analyzing, inferring and experimenting with truly big data. As part of the team, you would be driving relevance projects through their entire life-cycle from idea creation through implementation, experimentation and finally to shipping.

Bing core relevance team have offices in multiple worldwide locations, including Bellevue Washington, Silicon Valley, Germany, China and India, also closely collaborate with Microsoft Research on many joint innovations.

We are looking for strong, motivated, results-oriented applied scientists and software engineers to help drive the design and implementation of the next wave of relevance.