Applied Scientist 2 at Microsoft

Applied Scientist 2 Details

Jan. 3, 2019, 9:26 p.m.
Individual Contributor
Bellevue, WA
multiple product team Microsoft 365 Search
The Microsoft 365 Search and Assistance organization is looking for a talented applied scientist who are passionate about making a real impact on millions of people. You would work in an exciting and fast-paced environment, collaborating with scientists and engineers in multiple product teams and others across the company, including Microsoft Research (MSR). By analyzing and learning from massive data you will improve the productivity of users around the globe by providing the right information at their fingertip in the right context, by making complex tasks faster, easier and more delightful. You will work as part of a team that brings together talents in the areas of big data, software engineering, machine learning, natural language processing, information retrieval, and trustworthy computing. We value and encourage diversity in the belief that it leads to both great workplaces and great products.

Build and improve language understanding models for intelligent assistant and search experiences to boost users' productivity, using both rule based system (for cold start) and ML approach. Data analysis to identify issues in language understanding and design, implement, experiment, and ship solutions to address these problems accordingly. Research on innovative technologies to scale language understanding across different domains and languages in a compliant way. Improve the online runtime and the offline experimentation platform for better runtime quality and performance, and higher experimentation
Required qualifications for this position include: 3+ years of experiences in applied science and software/service product development 2+ years of experience in NLP Effective communication skills, both verbal and written, and great team work skills Ph.D. or MS degree in computer science, EE or related fields is preferred Highly Desirable: Experience in ML/information retrieval Experience in large scale data mining and cloud computing Familiarity with big data framework, and parallel/ distributed processing such as Hadoop/Spark/ Dryad/Scope
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