The opportunity
You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities.
What you'll do
AI Control: Creating methods to ensure advanced AI systems remain safe and: harmless in unfamiliar or adversarial scenarios.
Alignment Stress-testing: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise.
Testing the robustness of our safety techniques by training language models: to subvert our safety techniques, and seeing how effective they are at subverting our interventions.
Run multi-agent reinforcement learning experiments to test out techniques like AI Debate .
Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks.
Write scripts and prompts to efficiently produce evaluation questions to test: models’ reasoning abilities in safety-relevant contexts.
What they're looking for
- Contribute ideas, figures, and writing to research papers, blog posts, and talks.
- Run experiments that feed into key AI safety efforts at Anthropic, like the: design and implementation of our Responsible Scaling Policy .
- Have significant software, ML, or research engineering experience
- Have some experience contributing to empirical AI research projects
