Principal Applied Scientist
Core
Design, develop, and deploy state-of-the-art machine learning, information retrieval, large language model, and agentic AI solutions to improve web-scale content and knowledge systems.
Role type
Principal Applied Scientist (AI/ML Strategy & Leadership)
Builds
Large-scale machine learning and AI initiatives across Web Data Platform
Domain
Internet-scale content understanding, information retrieval, and agentic AI
Deliverable
production ML models
Required skills
Machine learning, information retrieval, large language models, agentic AI, problem formulation, experimentation, model development, evaluation, production deployment, long-term impact measurement, content understanding, quality estimation, risk detection, trust modeling, ecosystem health measurement, mentoring, cross-organizational collaboration, technical strategy, Python, C++, C#, Java, distributed data processing, model training, Responsible AI, model governance, online measurement, publications, patents
Preferred skills
N/A
Technologies
Python, C++, C#, Java, foundation models, LLMs, SLMs, agents, tool use, evaluation frameworks, prompt engineering, large-scale compute platforms
Responsibilities
Lead end-to-end development of scientific solutions, define long-term technical roadmaps, establish rigorous experimentation frameworks, develop novel approaches for content understanding and trust modeling, mentor and grow other scientists, drive cross-organizational collaboration, influence organizational investments
Seniority
Principal, strategy & mentorship
