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Description
A full-time role for experienced engineers who want to lead high-impact AI safety research across model training, evaluations, or research infrastructure.
- Research impact – Lead projects on AI deception, adversarial robustness, red-teaming, or mechanistic interpretability with a 30+ person technical team
- Technical scope – Work on large-scale transformer training, frontier model evaluations, or GPU infrastructure and distributed systems
- Leadership – Mentor engineers and researchers; shape 3–6 month research roadmaps within growing workstreams
- Compensation and flexibility – $150K–$250K salary (location-dependent), remote or Berkeley-based, visa sponsorship and travel support available
Also open to senior researchers with a strong vision for new AI safety directions within FAR.Research.
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