Principal Applied Scientist
Core
Shape the direction of the Agent Foundry Platform and drive agent self-improvement by applying long-term research efforts and production ML techniques to build trustworthy, science-informed decision-making tools.
Role type
Principal Applied Scientist (AI/ML Research & Product)
Builds
Agent Foundry Platform and self-improving AI agents (via careerplan.io/jobs/1970393556628352-principal-applied-scientist-at-microsoft)
Domain
Artificial Intelligence, Machine Learning, Large Language Models
Deliverable
production ML models
Required skills
Reinforcement Learning from Human Feedback (RLHF), model evaluation and optimization, Python programming, fine-tuning and post-training strategies, prompt engineering, research program leadership, live production system deployment, product lifecycle management
Preferred skills
UI/UX collaboration, team mentorship, conference speaking
Technologies
Python, Large Language Models
Responsibilities
Collaborate with designers and engineers to create actionable dashboards; shape product direction for the Agent Foundry Platform; apply RLHF to drive agent self-improvement; negotiate technology application across teams; leverage data and experimentation to iterate on product opportunities; provide mentorship to team members
Seniority
Principal, strategy & mentorship
