Anthropic· AI Research & Engineering· London, UK
Research Engineer / Scientist, Alignment Science - London
Classified Tasks (10)
Automate 0%Augment 60%Human-Only 40%
Augment (6)
AI assists, human decides
Build and run machine learning experiments to understand and steer the behavior of powerful AI systems
technical
Train language models to attempt to subvert safety techniques and evaluate the effectiveness of those subversions
technical
Run multi-agent reinforcement learning experiments to test techniques such as AI Debate
technical
Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks
technical
Write scripts and prompts to generate evaluation questions that test models’ reasoning abilities in safety-relevant contexts
creative
Contribute ideas, figures, and writing to research papers
creative
Human-Only (4)
Requires human judgment
Conduct exploratory experimental research on AI safety focused on risks from powerful future systems
analytical
Collaborate with Interpretability, Fine-Tuning, and Frontier Red Team on experiments and research projects
communication
Create methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios
analytical
Create model organisms of misalignment to empirically study how alignment failures might arise
technical
Job description
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: 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. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: 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. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: 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. Contribute ideas, figures, and writing to research pape