Research Engineer, Alignment Science

at  Anthropic

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.
These papers give a simple overview of the topics the Alignment Science team works on: Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training, Studying Large Language Model Generalization with Influence Functions, Debating with More Persuasive LLMs Leads to More Truthful Answers, Language Models (Mostly) Know What They Know, Measuring Progress on Scalable Oversight for Large Language Models, Measuring Faithfulness in Chain-of-Thought Reasoning, Discovering Language Model Behaviors with Model-Written Evaluations.
Note: Currently, the team has a preference for candidates who are able to be based in the Bay Area. However, we remain open to any candidate who can meet the organisation’s 25% in-person policy.

YOU MAY BE A GOOD FIT IF YOU:

• Have significant software, ML, or research engineering experience
• Have some experience contributing to empirical AI research projects
• Have some familiarity with technical AI safety research
• Prefer fast-moving collaborative projects to extensive solo efforts
• Pick up slack, even if it goes outside your job description
• Care about the impacts of AI

Please refer the Job description for details