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
Deliverable
production ML models | product features | dashboards & analysis
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
