Staff Applied Research Scientist
Core
Define concrete directions for vague problems in AI agent behavior within complex enterprise environments, build/train/evaluate agents, and validate concepts before organizational commitment.
Role type
Staff Applied Research Scientist (AI Agents & Enterprise Systems)
Builds
AI agents, prototypes, and evaluation frameworks for enterprise workflows
Domain
Artificial Intelligence, Machine Learning, Enterprise Software
Deliverable
production ML models
Required skills
Problem decomposition and hypothesis formulation, LLM-based system implementation and training, agent architecture design, evaluation metric definition and test set creation, AI security and safety analysis, Python software development, mentoring researchers and engineers
Preferred skills
Publications in agent evaluation or AI security, experience with enterprise AI compliance and governance, building red-teaming pipelines
Technologies
Python, LLM frameworks, agentic tools
Responsibilities
Decide which research questions to pursue and propose models/techniques, build and train AI agents to test hypotheses, collaborate with Forward Deployed Engineering to validate ideas in real customer workflows, analyze prototype failures and adjust research direction, set technical direction for applied projects, mentor researchers and interns, represent work via publications and open-source contributions
Seniority
Staff, hands-on IC with strategic influence
