Researcher, Chain-of-Thought Monitorability & Alignment

OpenAI; San Francisco (CA); Hybride; USD 120 000 - 150 000; Plein temps

Avantages offerts par ce poste

Relocation assistance

Hybrid work model

Résumé du poste

OpenAI in San Francisco is looking for a researcher with strong empirical ML expertise to investigate model behavior and monitorability. You will design experiments and translate findings into practical recommendations.

The ideal candidate will have experience training large ML models and a passion for AI safety and alignment. This position offers a hybrid work model and relocation assistance for new employees.

Qualifications

• Strong hands-on experience training, evaluating, or debugging large ML models.
• Deep curiosity and interest in alignment and model behavior.

Responsabilités

• Design and run empirical studies of chain-of-thought monitorability.
• Build evaluations to measure monitorability and model behavior.

Connaissances

Empirical ML expertise

Alignment research

Model interpretability

Formation

Relevant degree in machine learning or related field

Outils

Python

TensorFlow

PyTorch

Description du poste

OpenAI in San Francisco is looking for a researcher with strong empirical ML expertise to investigate model behavior and monitorability. You will design experiments and translate findings into practical recommendations.

The ideal candidate will have experience training large ML models and a passion for AI safety and alignment. This position offers a hybrid work model and relocation assistance for new employees.