Principal Applied scientist
Core
Lead development of machine learning and AI solutions for Meeting Intelligence in Copilot, defining evaluation methodologies and quality metrics for AI-powered meeting experiences.
Role type
Principal Applied Scientist (AI Evaluation & Strategy)
Builds
AI-powered meeting experiences, evaluation frameworks, and measurement systems for Copilot
Domain
Enterprise productivity, Generative AI, Natural Language Processing
Required skills
Large Language Models (LLMs), Natural Language Processing (NLP), Information Retrieval (IR), Retrieval-Augmented Generation (RAG), Causal inference, Statistical analysis, Measurement science, Experimentation design, Python, PyTorch, TensorFlow, Cloud-scale AI services, Distributed systems
Preferred skills
Publications in top-tier AI conferences (NeurIPS, ICML, ACL, etc.), Patents, Technical thought leadership, Experience leading cross-disciplinary scientific initiatives
Technologies
PyTorch, TensorFlow, Python
Responsibilities
Define evaluation methodologies and quality metrics for AI-powered meeting experiences; Drive experimentation strategies and data-driven decision making; Partner with Engineering, Product, and Responsible AI teams to bring innovations into production; Mentor senior scientists and define best practices for ML experimentation; Drive cross-organizational alignment on scientific priorities and AI quality investments
Seniority
Principal, strategy & mentorship
