Researcher at Microsoft

Researcher Details

Jan. 18, 2019, 5:12 p.m.
Research
Individual Contributor
Full-Time
Bellevue, WA
Microsoft AI and
Microsoft works with the world's best researchers, moving with the current of technology as it rapidly evolves. Together we share the motivation to seek innovative solutions to the world's toughest challenges and improve the lives of people everywhere. Microsoft AI and Research provides a nurturing environment to support passionate researchers and engineers in AI technology innovation. Our Business AI group is seeking Researcher candidates excelling in deep thinking research aspects and fast-paced entrepreneurial execution. The ideal candidates should have strong ability to work with researchers at Microsoft to push forward research agendas, being a team player in a collaborative and supportive environment with outstanding programming skills. We are seeking candidates with stellar empirical research skills and technical backgrounds. Applicants should demonstrate depth of knowledge in technical fields such as deep learning, natural language processing and machine learning, as well as strong

Conduct research in Natural Language Processing (NLP) and Computer Vision. R esearch, design, implement, and evaluate novel deep learning models for real-world problems. Analyze and improve performance of advanced algorithms on large-scale datasets . Implement prototypes of scalable systems in AI application s. Collaborate closely with team members on developing systems from prototyping to production level. Work closely with product teams to drive scalable, real-time implementations.
Required: PhD degree in Computer Science, Statistics, Mathematics, or related technical field. Expert deep learning background. Strong knowledge of Natural Language Processing (NLP) or Computer Vision algorithms. Preferred: Published papers in peer-reviewed journals or conferences, or track record of leading projects in industry. Experience with programming languages such as Python, C++, Java or previous software engineering experience. Experience in leveraging and augmenting deep learning code base and libraries/toolkits to deliver new solutions. Ability to take initiative, but also follow a research/productization
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