micro1 · Worldwide · Full-time · Remote
Job Title: Member of Technical Staff, Cortex Lab (applied AI research)
Job Type: Full-time
Location: Remote
The Role
We're hiring a Member of Technical Staff (MTS) to develop, evaluate, and improve AI agents and LLM-powered systems operating in real-world enterprise workflows.
This is a hands-on applied research and engineering role focused on agent evaluations, failure analysis, and rapid experimentation. You'll work closely with researchers, engineers, domain experts, and enterprise customers to identify capability gaps, design rigorous evaluations, and drive measurable improvements in AI system performance.
You'll also contribute to research tooling and infrastructure that accelerates experimentation and evaluation.
What You'll Do
• Design and implement evaluation frameworks, benchmarks, and datasets for LLM-powered agents and complex AI workflows.
• Identify, analyze, and prioritize model, agent, and workflow failures in real-world production environments.
• Run rapid experiments to validate hypotheses, measure performance, and improve agent reliability and effectiveness.
• Partner with enterprise customers and researchers to evaluate, deploy, and optimize AI systems across production workflows.
• Develop high-quality training and evaluation data, task specifications, and feedback mechanisms to improve system performance.
• Build Python-based evaluation pipelines, experimentation tools, and lightweight research infrastructure.
• Collaborate with researchers, domain experts, and customer stakeholders to define evaluation strategies and optimization roadmaps.
• Contribute to technical reports, benchmarks, and research insights that inform future system improvements.
What We're Looking For
• Strong background in applied AI research, research engineering, machine learning, or LLM-based systems.
• Hands-on experience designing and implementing evaluations for AI agents, including tool use, multi-step workflows, and task completion.
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