Microsoft Research Asia Pacific (MSR Asia), established in 1998, is a leading research lab with major sites in Beijing and Shanghai. A group of talented researchers and engineers are working on state-of-the-art technologies every day to solve the most challenging problems in computing and its interdisciplinary areas. As one of the world-class research labs, MSRA offers an exhilarating, supportive, open and inclusive environment for top talents to create the future through their disruptive and cutting-edge research. Over the years, technologies developed by MSR Asia have made a significant impact within Microsoft and also around the world, and new, innovative technologies are constantly being born from the lab.
We are seeking exceptional Researchers, Senior Researchers, and Principal Researchers to join our team and drive the next wave of breakthroughs in artificial intelligence. In this role, you will advance the frontier of AI research and build next-generation AI models, systems, and products that reach billions of users worldwide. You will work alongside world-class scientists and engineers in a deeply collaborative, fast-paced environment where intellectual ambition meets real-world impact.
Responsibilities
- Conduct foundational and frontier research in Large Language Models (LLMs), Multimodal Large Language Models, Agentic AI, and AI Systems/Infrastructure — pushing the boundaries of what is possible in model capability, efficiency, and reliability.
- Design, develop, and evaluate next-generation AI models and systems, from pre-training and post-training methodologies to novel architectures and scalable inference solutions.
- Conceive and build AI-native products, prototypes, and demos that showcase breakthrough capabilities and translate research insights into tangible user experiences.
- Collaborate with cross-functional teams across Microsoft — including product engineering, applied science, and platform groups — to transfer cutting-edge research and models into production-quality products at scale.
- Publish influential research at top-tier venues and contribute to the broader research community through open-source releases, technical blogs, and industry engagement.
- Identify high-impact research directions by staying at the forefront of the rapidly evolving AI landscape, proactively proposing new initiatives that align with Microsoft's mission and product strategy.
Qualifications
Required:
- Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field. Candidates with strong quantitative backgrounds in fundamental disciplines — such as Mathematics, Physics, or Statistics — are equally encouraged to apply.
- Solid foundation in mathematics (e.g., linear algebra, probability, optimization) with demonstrated analytical and problem-solving skills.
- Proficient programming skills in one or more of the following: Python, C/C++, or other mainstream languages.
- Strong self-learning ability and intellectual curiosity, with a track record of quickly mastering new domains, tools, and technologies.
- Professional working proficiency in English, both written and verbal, sufficient for authoring technical papers, documentation, and cross-team communication.
- Excellent interpersonal and communication skills, with the ability to collaborate effectively across disciplines, teams, and geographies — both within Microsoft and with external partners and the research community.
Preferred:
- Research experience in one or more of the following areas: Large Language Models, Natural Language Processing, Computer Vision, Speech/Audio Processing, Multimodal AI, Reinforcement Learning, or AI Systems/Infrastructure.
- Publication track record at top-tier conferences or journals (e.g., ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, ICCV).
- Hands-on experience with large-scale distributed training, model optimization, or building end-to-end ML pipelines.
- Familiarity with modern deep learning frameworks (e.g., PyTorch) and large-scale computing environments.
- Experience shipping AI-powered features or products, demonstrating the ability to bridge the gap between research and production.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's, Master's, or PhD in Computer Science, Software Engineering, Electrical Engineering, or a related technical field (or strong quantitative background such as Mathematics, Physics, or Statistics).
- Solid foundation in mathematics (linear algebra, probability, optimization) with strong analytical and problem-solving skills.
- Proficient programming skills in one or more of: Python, C/C++, or other mainstream languages.
- Strong self-learning ability and intellectual curiosity; ability to quickly master new domains, tools, and technologies.
- Professional working proficiency in English, both written and verbal.
- Excellent interpersonal and communication skills; ability to collaborate across disciplines, teams, and geographies.
- Research experience in LLMs, NLP, Computer Vision, Speech/Audio, Multimodal AI, Reinforcement Learning, or AI Systems/Infrastructure.
- Publication track record at top-tier conferences or journals (e.g., ICLR, NeurIPS, ICML, ACL, CVPR).
- Hands-on experience with large-scale distributed training, model optimization, or building end-to-end ML pipelines.
- Familiarity with modern deep learning frameworks (e.g., PyTorch) and large-scale computing environments.
- Experience shipping AI-powered features or products, bridging research and production.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
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.

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