Towards the Psychological Security of Agentic AI
This project addresses the critical challenge of ensuring psychological safety in AI systems designed for mental health support. While agentic AI chatbots can deliver evidence-based psychotherapy and personalised interventions, they also pose risks such as…
Quantifying and Mitigating Emerging Risks in Multi-Agent Collaboration
This project investigates critical safety challenges in large-scale deployments of AI agents, focusing on privacy leakage and collusion risks in multi-agent environments. As agents collaborate and negotiate across complex tasks, they may unintentionally expose sensitive…
From Task Solvers to Teammates: A Theory-Grounded Architecture for Advancing Collaboration Readiness in LLM Agents
This project reimagines AI agents not just as autonomous problem-solvers but as effective collaborators. It introduces a theory-grounded approach to design and evaluate Large Language Model agents for human–AI teamwork. The research develops CollabBench, the…
Health Futures UK
Advancing human health through machine learning research. The Health Futures UK team pursues machine learning research in service of advancing human health and our understanding of medicine. Drawing on our expertise in medical imaging and…
Senior Researcher in Machine Learning: People-Centric AI
We are seeking Senior Machine Learning Researcher candidates for our research in the area of People-Centric AI at Microsoft Research Cambridge (UK). The successful candidate will be responsible for pushing the state of the art…
RosettaFold3
RosettaFold3 (RF3) is a unified biomolecular modeling system that predicts 3D structures of proteins, nucleic acids, and small molecules within a single framework. Combining multimodal transformers and generative diffusion models, RF3 enables precise modeling of…
Senior Researcher – LLM Systems
We are looking for a Senior Researcher – LLM Systems to invent, analyze, and productionize the next generation of serving architectures for transformer-based models across cloud and edge. The candidate will focus on algorithmic and…
Research Intern – Interactive Multimodal Futures Group (Situated & Affective Computing)
The Interactive Multimodal Futures (IMF) group at Microsoft Research seeks a PhD-level Research Intern to work on a project at the intersection of situated interaction, affective computing, and human-centered AI systems. The project will include…
Leveraging Loanword Constraints for Improving Machine Translation in Low-resource Settings
Translating from high-resource to low-resource languages like Emakhuwa remains a challenge due to limited parallel data, orthographic variation, and frequent loanwords and code-switching. In this talk Felermino will discuss how to apply lexicon-guided neural machine…
Research Intern – FATE, Montréal (Fairness, Accountability, Transparency, and Ethics in AI)
L’équipe FATE MTL (équité, responsabilité, transparence et éthique) de Microsoft Research Montréal déploie des efforts pour aligner l’utilisation des systèmes informatiques sur des objectifs sociétaux généraux au service du bien collectif, de la justice et de l’équité.…