Researcher

Microsoft Microsoft · Big Tech · Beijing, Beijing, China · Research Sciences

Researcher role at Microsoft Research Asia Pacific focusing on foundational and frontier research in LLMs, Multimodal LLMs, Agentic AI, and AI Systems. Responsibilities include designing, developing, and evaluating AI models and systems, from pre-training to scalable inference, and translating research into products. Collaboration with cross-functional teams and publishing at top-tier venues are key.

What you'd actually do

  1. 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.
  2. Design, develop, and evaluate next-generation AI models and systems, from pre-training and post-training methodologies to novel architectures and scalable inference solutions.
  3. Conceive and build AI-native products, prototypes, and demos that showcase breakthrough capabilities and translate research insights into tangible user experiences.
  4. 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.
  5. Publish influential research at top-tier venues and contribute to the broader research community through open-source releases, technical blogs, and industry engagement.

Skills

Required

  • Bachelor's, Master's, or PhD degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field.
  • 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.

Nice to have

  • 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.

What the JD emphasized

  • publication track record
  • foundational and frontier research
  • next-generation AI models, systems, and products

Other signals

  • advance the frontier of AI research
  • build next-generation AI models, systems, and products
  • pushing the boundaries of what is possible