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Member of Technical Staff, Frontier AI
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About the Role
The Role We’re hiring a Member of Technical Staff (MTS) to act as a technical owner operating at the intersection of research, data, and real-world AI systems. This is a hands-on role focused on improving model and system performance through rigorous evaluation, failure analysis, and iterative development.
What You'll Do
- Own research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.
- Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream 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.
- Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.
- Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.
You're a Good Fit If You
- Required skills: Research Signal Judgment, ML-Oriented Data Design, Ops-to-Research Translation, RL Environments
- Strong judgment around research signal quality and when work is (or is not) ready to be externalized.
- Experience designing ML-oriented datasets, evaluation frameworks, and QA processes.
- Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.
- Comfort operating in ambiguity, with a bias toward ownership and decisive action.
- Clear written and verbal communication, especially when explaining tradeoffs, limitations, and signal strength to technical and non-technical stakeholders.
- Proven ability to work directly with experts during project kickoff, calibration, and iteration.
- A systems-level mindset, with interest in improving end-to-end model or agent performance rather than isolated components.
Role Highlights
Pay & Payout
Engaged directly through micro1. Apply via the link below - micro1 handles onboarding and payment.
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