Senior Software Development Engineer at Microsoft

Senior Software Development Engineer Details

May 21, 2019, 3:48 a.m.
Engineering
Individual Contributor
Full-Time
Bellevue, WA
that celebrates team Cognitive Services Do
Text Analytics – Cognitive Services Do you want to be a part of AI? Are you interested in designing and bringing to market new AI services that augment human potential? In Microsoft Cognitive Services we work at the forefront of AI product development, making AI accessible to every developer. We are passionate about infusing AI across every product in Microsoft and democratizing AI for Microsoft's customers. We encourage a collaborative environment that celebrates team success, supports continuous personal development, and perfects the craft of engineering. We also believe in maintaining a good work life balance. Our team has people from a wide variety of backgrounds, previous work histories, and life experiences, and we are eager to maintain and grow that diversity.

The Text Analytics team is building cloud-based Natural Language Processing (NLP) services and APIs that aim to extract meaningful insights from text . Our solutions power numerous high value scenarios and are used by many internal Microsoft products as well as thousands of external Microsoft customers. As an engineer on the team you will be responsible for building new mass-scale services and operationaliz ing state-of-the-art machine learning models. As a team we're proud of what we build and how we build it. We run lean, obsess about customers and use an evidence-based approach to decision making
Basic Qualifications A minimum of a bachelor's degree in Computer Science or Engineering, or equivalent alternative education, skills, and/or practical experience. 5+ years of software development experience. Experience building hosted products that handle large distributed workflows. Experience developing APIs and client libraries (SDKs). Excellent coding skills, including server-side language experience (Java, C#, Scala, C++). Preferred Qualifications Experience building Machine Learning and Artificial Intelligence products, services or features. Familiarity with modern software engineering practices
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