Data Scientist II – M365 Copilot
As a Data Scientist II- M365 Copilot, you will: – Build and deliver model-driven features from concept to production – spanning model development, evaluation, metrics, and A/B testing- Evolve our orchestrator to reason more effectively,…
Principal Applied Scientist – Microsoft AI Experiences
As a Principal Applied Scientist on the Online Forensics team, you will shape the scientific strategy for protecting Microsoft’s monetization network. You will assess threats in monetization and advertising flows and LLM-native systems, track adversary…
Research Intern – Data Systems
The Data Systems group at Microsoft Research works on problems in data management in the era of cloud computing and artificial intelligence. We work on large-scale cloud data platforms including aspects such as resource management,…
Senior Applied Scientist – Ads Ranking & Retrieval
The AI Economy Trust & Safety team builds the detection behind access decisions: verifying that customers are who they claim to be, recognizing when many accounts are one actor, and separating ordinary heavy usage from…
Senior Applied Scientist – Word Copilot
Join the Word Mobile and Word Copilot team in Noida to help transform how people create, edit, understand, and collaborate on documents across phones, tablets, web, and desktop. As a Senior Applied Scientist, you will…
Principal Applied Scientist – Ads Ranking & Retrieval
The AI Economy Trust & Safety team builds the detection behind those access decisions: verifying that customers are who they claim to be, recognizing when many accounts are one actor, and separating ordinary heavy usage…
Postdoctoral Researcher, Experimental Data Generation & CRO Strategy
Microsoft Research AI for Science seeks a motivated Postdoctoral Researcher to design and lead experimental data-generation campaigns for the next Biomolecular Emulator (BioEmu) model. Microsoft Research AI for Science focuses on the development of machine…
Generative Gibbs sampling: Composing generative models with explicit physical context
Generative models are powerful when training data for the target distribution are available, but in scientific computing the target is often a joint system for which no such data exist. We propose Generative Gibbs Sampling,…
Principal Applied Scientist – Core Search and AI team
Core Search and AI team (Bing) is looking for people who want to build the next generation of search using advanced AI technologies, especially large language models, at scale. We are seeking a highly motivated and experienced…