Principal Applied Scientist
Core
Identify high-value opportunities for applied AI, translate ambiguous business problems into rigorous technical approaches, and rapidly prototype and iterate on AI solutions to improve operational outcomes.
Role type
Principal Applied Scientist (AI/ML)
Builds
Production-ready AI capabilities, reusable AI methods, frameworks, and evaluation approaches
Domain
Applied AI, Machine Learning, Research
Deliverable
production ML models
Required skills
Applied AI strategy, rapid prototyping, experimental design, benchmarking, technical leadership, Responsible AI governance, production system deployment, research program management, cross-functional partnership
Preferred skills
AI-first development tools, scalable data/learning loops, architecture implementation, observability, reliability engineering
Technologies
AI-first development tools, coding tools for experimentation
Responsibilities
Translate research into production-ready capabilities, design robust evaluation methodologies and success criteria, develop reusable AI frameworks, provide technical leadership on emerging techniques, ensure Responsible AI and security governance, partner with engineering on deployment and performance
Seniority
Principal, strategy & mentorship
