Principal Applied Scientist, WorkSpaces for AI Agents, Applied AI Solutions
Core
Define the scientific vision, evaluation methodology, and research roadmap for AI agents and human-AI teams within enterprise computing environments.
Role type
Principal Applied Scientist (Strategy & Research)
Builds
Benchmarks, datasets, metrics, and evaluation frameworks for agent performance and safety.
Domain
Enterprise AI, Human-AI Collaboration, Agent Systems
Deliverable
production ML models | research
Required skills
Research direction setting, experimental design, LLM/foundation model expertise, evaluation methodology, ambiguity management, cross-organizational alignment, mentorship, technical community engagement
Preferred skills
AI agents and tool use, computer-use/GUI-grounded agents, reinforcement learning, imitation learning, agent safety and guardrails, enterprise compliance frameworks, VP-level technical influence
Technologies
LLMs, foundation models, agent frameworks, enterprise security tools
Responsibilities
Define long-term scientific vision and multi-year research roadmap; solve novel problems in agent perception, reasoning, and reliability; build evaluation foundations and metrics; drive cross-organizational scientific alignment; translate research into measurable business impact; raise scientific rigor and mentor senior staff; advance state of the art via publications and open-source.
Seniority
Principal, strategy & mentorship