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Applied Scientist

Conduct research and develop innovative solutions in artificial intelligence, machine learning, or related technical areas. Apply scientific methods and data-driven approaches to solve challenging product and business problems. De...

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Microsoft Beijing, Beijing,CN, CN Source published Sep 11, 2026 Verified 2 hours ago
✓ 95% verification score · Source: Microsoft Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
Applied Scientist opportunity at Microsoft
DeadlineWed Mar 10 8:57 AM 2027
EmploymentF U L L T I M E
CountryCN

Overview

Conduct research and develop innovative solutions in artificial intelligence, machine learning, or related technical areas. Apply scientific methods and data-driven approaches to solve challenging product and business problems. Design, implement, and evaluate models, algorithms, and experiments. Collaborate with engineers, product managers, and researchers to bring research innovations into production. Analyze large-scale datasets to generate insights and improve product performance. Stay current with advancements in AI and contribute to the scientific community through innovation and knowledge sharing. Currently pursuing or recently completed a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or a related field. OR equivalent experience. Strong foundation in machine learning, statistics, optimization, or relate

Full job description

Full Job Description

Conduct research and develop innovative solutions in artificial intelligence, machine learning, or related technical areas. Apply scientific methods and data-driven approaches to solve challenging product and business problems. Design, implement, and evaluate models, algorithms, and experiments. Collaborate with engineers, product managers, and researchers to bring research innovations into production. Analyze large-scale datasets to generate insights and improve product performance. Stay current with advancements in AI and contribute to the scientific community through innovation and knowledge sharing. Currently pursuing or recently completed a Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or a related field. OR equivalent experience. Strong foundation in machine learning, statistics, optimization, or related disciplines. Proficiency in programming languages such as Python, C++, or similar. Experience with data analysis, experimentation, and model evaluation. Strong problem-solving, analytical thinking, and communication skills. Research, internship, or project experience in AI, machine learning, or data science. Familiarity with deep learning frameworks and modern AI technologies. Experience working with large-scale datasets or distributed systems. Publications, open-source contributions, or participation in research competitions.

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