Frontier AI Misalignment Monitoring Lead & Researcher

Applied Methods Ltd; San Francisco (CA); On-site; USD 38,000 - 50,000; Full time

Job summary

OpenAI is seeking a senior researcher to lead misalignment monitoring efforts for frontier AI systems in San Francisco. You will design rigorous evaluations, stress-test monitoring signals, and drive improvements across safety systems.

The role blends leadership with hands-on experimentation in a fast-moving research environment. You will investigate failures in monitoring, differentiate true safety signals from noise, and help shape deployment strategies with engineers and researchers.

Qualifications

• Senior researcher with strong ML background in model evaluation, AI safety, or robustness.
• Ability to lead technically challenging research projects end-to-end.
• Experience designing rigorous, reproducible evaluations and stress tests.

Responsibilities

• Lead research and technical direction for evaluating misalignment monitoring of frontier AI systems.
• Design and execute rigorous evaluations to measure monitor effectiveness and failure modes.
• Develop stress-testing and red-teaming methods for monitors and identify weaknesses.
• Investigate false positives, missed detections, and other monitoring failures to improve safety evaluations.
• Build scalable evaluation frameworks and tooling to monitor performance as models evolve.
• Translate research findings into actionable improvements with partner teams.

Skills

ML research

model evaluations

AI safety

robustness

research leadership

Tools

Python

PyTorch

Job description

OpenAI is seeking a senior researcher to lead misalignment monitoring efforts for frontier AI systems in San Francisco. You will design rigorous evaluations, stress-test monitoring signals, and drive improvements across safety systems.

The role blends leadership with hands-on experimentation in a fast-moving research environment. You will investigate failures in monitoring, differentiate true safety signals from noise, and help shape deployment strategies with engineers and researchers.