Microsoft Research Cambridge

Machine Intelligence

Advanced machine learning research, grounded in trust, efficiency, capability.

KBLaM blog | A flowchart illustrating the process of handling a prompt using a language model. The process begins with documents being used to construct and summarize a knowledge base (KB) offline. The summarized KB is then encoded and fed into the main process. A prompt goes through a tokenizer, followed by rectangular attention, and then into the large language model (LLM). The LLM retrieves information from the encoded KB to generate an answer.

Introducing KBLaM: Bringing plug-and-play external knowledge to LLMs

Layered image of Phi Silica, a state-of-the-art small language model integrated into Windows 11 Copilot+PCs

Phi Silica, small but mighty on-device SLM

A Ladder of Reasoning: Testing the power of imagination in LLMs

Opportunités de carrière

Postdoctoral Researcher (Foundational AI: Theory and Architectures)

Posted: September 10, 2026

Lieu: Microsoft Research Lab – Cambridge

Domaine de recherche: Artificial intelligence

The Machine Intelligence team at Microsoft Research Cambridge conducts foundational machine learning research across learning algorithms, model architectures, reasoning systems, and efficient AI. We are seeking a highly collaborative Postdoctoral…

Principal Research Manager/Senior Principal Research Manager

Posted: September 2, 2026