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security machine learning monitoring ai safety evaluations📋 Description
- Identify emerging AI safety risks and new evaluation methods.
- Build and refine frontier AI model evaluations.
- Design scalable systems and processes to support evaluations.
- Define datasets, graders, rubrics, and threshold guidance.
- Produce auditable artifacts for leadership during high-stakes launches.
🎯 Requirements
- ML research engineering experience or related ML domain.
- Experience in ML observability and monitoring.
- Experience with large language models-enabled applications.
- Ability to operate in a dynamic, fast-paced research environment and deliver end-to-end.
- Strong red-teaming mindset and AI safety focus.
- Excellent cross-functional communication.
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