Senior Data & Applied Scientist at Microsoft

Senior Data & Applied Scientist Details

Nov. 13, 2018, 11:08 p.m.
Individual Contributor
Bellevue, WA
high visibility team Bing Core Relevance
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 team with ambitious goals and intensive competition? We are hiring extremely talented, highly motivated and productive applied scientist with expertise in information retrieval, deep learning, machine learning, natural language processing, data mining and large scale distributed computation. We're the Bing Core Relevance team within Microsoft AI and Research division and working on deep learning to power end user experiences relating to the following four areas: Relevance of search results on Question-answering system for Bing and Cortana Enterprise search for sharepoint and other work related content Recommendation system for news feed system The team works on projects across the entire deep learning life-cycle. This includes deep learning models for ranking, summarization, universal representation

As part of the team, you would be driving projects through their entire life-cycle from idea creation through implementation, experimentation and finally shipping to our users. 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 improvements of products for Bing and Microsoft. You would be working with truly big data by training and extending the capability of deep learning models to provide compelling experiences across our products. Projects can span across modeling, data engineering,
MS/Ph.D. in CS/EE or related areas is required Strong ability and effectiveness working in a significant technical problem domain, in the term of plan, design, execution, continuous release and service operation. Strong software engineering fundamentals, including coding, problem solving and data analysis skills. Background in machine learning/deep learning (strongly preferred). Passionate and self-motivated. Ability to effectively work in collaborative multiple project team environment and ship production features in a fast-paced environment. Good communication skills, both verbal and written
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