Member of Technical Staff, Frontier AI

24-MAG
New York, NY
Job Description
Role Overview

We are sharing a specialised full-time opportunity for experienced technical professionals to operate at the intersection of AI research, machine-learning data systems, evaluation, and real-world model performance.

What You Will Do

Selected professionals will take ownership of research and evaluation initiatives designed to generate high-quality, defensible research signal and translate that signal into measurable improvements in AI systems.

Why It Might Be a Fit

The role combines evaluation design, ML-oriented data development, failure analysis, quality calibration, and close collaboration with researchers, domain experts, and operational teams.

Requirements

  • Strong professional judgement regarding research signal quality and whether findings are ready to support broader conclusions
  • Experience designing ML-oriented datasets, evaluation frameworks, annotation systems, rubrics, or QA processes
  • Ability to translate complex and ambiguous real-world system behaviour into structured research and evaluation opportunities
  • Strong ownership mindset and comfort making decisions in uncertain or rapidly evolving environments
  • Excellent written and verbal communication skills
  • Ability to explain technical trade-offs, limitations, evidence quality, and research findings clearly
  • Proven experience working directly with researchers, technical experts, or domain specialists during project calibration and iteration
  • Systems-level understanding of model, agent, or AI-system performance
  • Experience with reinforcement-learning environments, simulators, or feedback-driven training systems is advantageous
  • Experience improving agentic systems or AI systems operating within real-world workflows is beneficial
  • Prior work within applied research or production environments with direct impact on deployed systems is advantageous
  • Experience designing evaluations for complex or real-world tasks is strongly valued
  • Familiarity with expert incentive design or high-stakes technical research programmes is beneficial

Benefits

  • Salary: $600,000–$2,000,000/year
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