Number of Openings: 2-4 Location: Shanghai Group Introduction: The System Group (Shanghai) at Microsoft Research Asia is dedicated to developing efficient and effective systems for large foundational models such as LLMs and LMMs, as well as systems built upon them like AI Agents and Copilots.…
Number of Openings: Multiple Location: Beijing/Vancouver Group Introduction: The General Artificial Intelligence (GenAI) Group is focusing on research of Large Foundation Models and General AI, Natural Language Processing, Speech Processing, Multimodal AI, and AI Agent. In the past few years, we have published and open…
Number of Openings: 2-4 Location: Beijing/Shanghai Group Introduction: The System Intelligence Group at Microsoft Research Asia is dedicated to the research and development of large language models (LLMs), and driving the innovation of AI technologies. The research areas of the System Intelligence Group include large…
Number of Openings: 2-4 Location: Beijing/Shanghai Group Introduction: The Spatial Intelligence team at Microsoft Research Asia is committed to advancing cutting-edge AI technologies that enable deeper understanding and interaction with people, objects, and environments in the 3D real world. Our research spans a diverse range of areas,…
Number of Openings: 2-4 Location: Beijing/Shanghai Group Introduction: The Artificial Intelligence Reasoning team at Microsoft Research Asia is dedicated to exploring large models. Their focus areas include: 1). Model Optimization: Improving inference speed, reducing resource consumption, and enhancing inference accuracy. 2). Research and Innovation: Exploring…
The 2023 Big ANN Challenge, held at NeurIPS 2023, focused on advancing the state-of-the-art in indexing data structures and search algorithms for practical variants of Approximate Nearest Neighbor (ANN) search that reflect the growing complexity and diversity of workloads. Unlike prior challenges that emphasized scaling…
Motivations: Recent research has emerged on generally how to improve AI products’ human-AI interaction (HAI) user experience (UX), but relatively little is known about HAI-UX inclusivity. For example, what kinds of users are supported, and who are left out? What product changes would make it…
Language models struggle in generating correct code for low resource programming languages, since these are underrepresented in training data. Popular approaches use either examples or documentation to improve the performance of these models. Instead of considering the independent retrieval of this information, we introduce retrieval…
Introduction Diabetes is a leading contributor to cardiovascular disease and mortality; social determinants of health (SDOH) are associated with disparities in diabetes risk. Quantifying the cumulative impact of SDOH and identifying the SDOH most associated with diabetes prevalence at the neighbourhood level can help policy-makers design…
MBPP is a popular dataset for evaluating models on the task of code generation. Despite its popularity there are three problems with the original MBPP: (1) reliance on providing test cases to generate the right signature, (2) contamination of the exact phrasing being present in…
At Microsoft, we’ve seen how digital technology can drive progress toward the Sustainable Development Goals. But technology must be more than just powerful—it must be trustworthy, safe, and inclusive. It’s only when technology empowers everyone, especially the most vulnerable, that we can fully unlock its…
Number of Openings: 1-2 Location: Beijing/Shanghai Group Introduction: The Accelerator TEAM of Microsoft Research Asia serves as a bridge between Microsoft Research Asia and universities and research institutions in China, committed to promoting innovation and development in the field of computer science in Asia. Since…
