Senior Applied Scientist – Microsoft 365 Copilot
Core
Design and run experiments to develop scalable retrieval pipelines and models for enterprise-scale search systems supporting Microsoft 365 Copilot Search, Chat, and Agent experiences.
Role type
Senior Applied Scientist (Retrieval Science)
Builds
Scalable retrieval infrastructure for Copilot Search, Chat, and Agent experiences
Domain
Enterprise search, Retrieval Science, Large Language Models
Deliverable
production ML models
Required skills
Semantic retrieval, Dense retrieval, Embedding model fine-tuning, SPLADE, Hybrid retrieval architectures, Ranking systems, Query understanding, RAG, Reinforcement learning, LLM-integrated retrieval
Preferred skills
Responsible AI, Privacy-Preserving ML, Publishing at top-tier venues
Technologies
ColBERT, SPLADE, LLMs
Responsibilities
Design and run experiments for retrieval systems, Partner with Engineering and PM to translate requirements into infrastructure, Establish evaluation frameworks for retrieval quality, Mentor scientists and engineers on retrieval and ranking systems, Keep up with latest advances in retrieval and ranking research
Seniority
Senior, hands-on IC with mentorship
