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Job Description
Responsibilities
- You will design, implement, analyze and tune complex algorithms and ML models operating on large datasets in collaboration with top scientists and engineers across Microsoft s global RD team.
- We combine cutting-edge research with direct business impact -- our work is published in top tier conferences alongside delivering healthy business growth.
- Were looking for solid theoretical fundamentals, an ability to pick up new technical areas, as well as a commitment to developing, delivering, and supporting complex machine learning models in large scale systems.
Qualifications
- Phd /MS in a machine-learning related area, with 5 or more years of experience
- Strong knowledge and skills in machine learning software development and architectures for machine learning (with focus on deep learning).
- Research or Industry experience with one or more of following areas Natural Language Processing (NLP), Information Retrieval, Natural Language Understanding, Computer Vision, Machine Learning
- Experience in building, deploying, and improving large scale Machine Learning models and algorithms in real-world products.
- Proficiency in Python/C++ and deep learning frameworks e.g. Pytorch , Tens orflow .
- Ability to synthesize the research literature, compare/contrast/critique and combine ideas into creating new ML models.
- Published work in top-tier conferences journals is a plus
Key Skills
Computer vision; deep learning; C++; Machine learning; Information retrieval; Natural language processing; Research; microsoft; Advertising; Python
About Company
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world. We do business in 170 countries and are made up of 144,000 passionate employees dedicated to fulfilling our mission of helping you and your organization achieve more.
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July 28, 2022