Hybrid Frontier AI Safety Researcher

Precision Labs; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

OpenAI is seeking researchers and engineers to advance frontier-model research with a focus on safety and alignment. You will train and evaluate models, identify misalignments, and develop scalable measurement and evaluation pipelines to turn failures into safety signals, while working with cross-functional teams to deploy mitigations at scale.

This hybrid role is based in San Francisco, CA, with relocation assistance for new employees, and a strong emphasis on practical problem-solving in

Qualifications

• Have demonstrated strength in research engineering, ML engineering, quantitative research, or applied model research, with the ability to own ambiguous projects end to end.
• Bring excellent technical execution across experimentation, data, evaluation, and/or infrastructure, plus strong intuition for modern frontier-model research.
• Are motivated by agent safety and eager to work on urgent, practical problems even if your prior work was outside safety or alignment.

Responsibilities

• Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity.
• Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals.
• Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems.

Skills

research engineering

ML engineering

quantitative research

applied model research

Job description

OpenAI is seeking researchers and engineers to advance frontier-model research with a focus on safety and alignment. You will train and evaluate models, identify misalignments, and develop scalable measurement and evaluation pipelines to turn failures into safety signals, while working with cross-functional teams to deploy mitigations at scale.

This hybrid role is based in San Francisco, CA, with relocation assistance for new employees, and a strong emphasis on practical problem-solving in