Member of Technical Staff, Frontier AI

Responsibilities

• ▹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
• ▹Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient
• ▹Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence
• ▹Identify gaps in data or evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact

Requirements

• ▹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

Nice to have

• ▹Experience with reinforcement learning environments, simulators, or feedback-driven training systems
• ▹Experience improving agentic systems or AI systems operating in real-world workflows
• ▹Prior work embedded in applied research or production environments with direct impact on deployed systems
• ▹Experience with evaluation design for complex or real-world tasks
• ▹Familiarity with expert incentive design and engagement in high-stakes technical projects

Soft skills

What we offer

• ▹Base salary of $180,000–$320,000
• ▹Equity compensation
• ▹Performance-based bonuses
• ▹Up to 100% reimbursement for health-insurance premiums
• ▹Paid time off
• ▹401(K) plan with a company match

About the company

micro1 provides a comprehensive benefits package and builds a high-performing, remote-first workforce, operating as an equal opportunity employer.