Applied scientist 2 - Fine tuning
Core
Build and deliver model-driven features from concept to production, focusing on post-training LLMs for enterprise scenarios like M365 Copilot and developing task-specific agents.
Role type
Senior Applied Scientist (LLM Fine-tuning & Enterprise AI)
Builds
Production-ready AI solutions, task-specific agents, and enterprise ecosystem integrations
Domain
Enterprise AI, Large Language Models (LLMs), Natural Language Processing (NLP)
Deliverable
production ML models
Required skills
LLM fine-tuning, model training, evaluation, metrics analysis, A/B testing, deep learning, NLP, multimodal models, model optimization, predictive analytics, statistical methodologies
Preferred skills
Creating publications (patents, peer-reviewed papers), presenting at top-tier conferences (ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP)
Technologies
M365 Copilot, LLMs, Deep Learning Frameworks
Responsibilities
Conduct R&D to push boundaries of model training and quality assessment; Collaborate with engineers and researchers to advance deep learning and NLP techniques; Measure, analyze, and report on model performance and impact
Seniority
Senior, hands-on IC with research leadership