Search and information retrieval
Career Opportunity
Principal Applied Scientist – M365 org
Our team of Principal Applied Scientists is chartered to tackle a wide variety of challenges, from building data ingestion to curating data to fine tuning prompts and models. The scientists focus on evaluation metrics to…
Career Opportunity
Principal Applied Scientist/Senior Applied Scientist – M365 Copilot team
As part of the M365 Copilot team, we are building enterprise-grade agentic web infrastructure, enabling advanced browser and search tools for both public and private web ecosystems. As the web remains the largest and most…
Career Opportunity
Principal Applied Scientist – Azure AI Knowledge team
A major aspect of this role is to push our development of knowledge retrieval to the frontier. This requires a capable individual who is well versed in both deep learning and LLM techniques – someone…
Career Opportunity
Principal Applied Scientist – Azure AI Knowledge team
A major aspect of this role is to push our development of knowledge retrieval to the frontier. This requires a capable individual who is well versed in both deep learning and LLM techniques – someone who can solve the hardest challenges where the latest reasoning…
Career Opportunity
Principal Applied Scientist – Microsoft Advertising
We are seeking a Principal Applied Scientist to lead the design, training, optimization, and deployment of large-scale AI models, including LLMs and agentic systems for advertising. This role focuses on scalable model architectures, efficient inference,…
Dataset Source Code
Data from Thomas et al., SIGIR2025: multi- and cross-lingual relevance labelling with LLMs
These are the prompts and qrels used for the experiments in Thomas et al., “System Comparison using Automated Generation of Relevance Judgements in Multiple Languages”, SIGIR 2025.
Video
Emancipatory Information Retrieval (Invited Talk at UCC)
Our world today is facing a confluence of several mutually reinforcing crises each of which intersects with concerns of social justice and emancipation. This talk will be a provocation for the role of computer-mediated information…
Podcast
Ideas: Accelerating Foundation Models Research: AI for all
Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program…
Microsoft Research Blog
Semantic Telemetry: Understanding how users interact with AI systems
AI interactions can be iterative and complex. Learn how the Semantic Telemetry project at Microsoft Research is developing a new data science approach to understand human-AI interactions and their value.
