Anthropic· AI Research & Engineering· San Francisco, CA
Research Engineer / Scientist, Alignment Science
Classified Tasks (11)
Automate 0%Augment 82%Human-Only 18%
Augment (9)
AI assists, human decides
Build and run elegant and thorough machine learning experiments to understand and steer the behavior of powerful AI systems
technical
Conduct exploratory experimental research on AI safety focusing on risks from powerful future systems
technical
Design and implement scalable oversight techniques to keep highly capable models helpful and honest as they surpass human-level intelligence
technical
Create methods for AI control to ensure advanced systems remain safe and harmless in unfamiliar or adversarial scenarios
technical
Create model organisms and stress tests of misalignment to empirically study how alignment failures might arise
technical
Build and align systems to automate, speed up, and improve alignment research
technical
Conduct pre-deployment alignment and welfare assessments of models
analytical
Analyze and document the highest-stakes and most concerning emerging properties of models
analytical
Draft misalignment-risk safety cases for models
communication
Human-Only (2)
Requires human judgment
Collaborate with Interpretability, Fine-Tuning, and the Frontier Red Team on experimental research and evaluations
communication
Coordinate assessments and evaluations with third-party evaluators
operational
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. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. 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. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing ro