Member of Technical Staff, Frontier AI

micro1 is seeking a Member of Technical Staff (MTS) to operate at the intersection of research, data, and real-world AI systems. This hands-on role focuses on improving model and system performance through rigorous evaluation, failure analysis, and iterative development.

Key responsibilities

• Own research and evaluation initiatives end-to-end, including problem framing, data design, and signal validation.
• Design ML-oriented data systems, such as annotation schemas, rubrics, and pipelines optimized for model performance.
• Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.
• Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.
• Partner with researchers and domain experts to calibrate quality and ensure defensible research signals.

Requirements

• Strong judgment regarding research signal quality and readiness for externalization.
• Proven experience designing ML-oriented datasets, evaluation frameworks, and QA processes.
• Ability to translate complex, real-world system behavior into structured research opportunities.
• Comfort operating in ambiguity with a strong bias toward ownership and decisive action.
• Excellent communication skills for explaining technical tradeoffs to diverse stakeholders.

What we offer

• Opportunity to work on high-impact, frontier AI systems in a fully remote environment.
• Collaborative culture working alongside researchers and domain experts.
• Exposure to cutting-edge AI development and evaluation methodologies.