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Artificial Intelligence Research Specialist

1 week ago


San Francisco, California, United States Anthropic Full time

About AI Safety at Anthropic:

We're on a mission to align advanced AI systems with human values. Our goal is to ensure that these systems are helpful, honest, and harmless.

As an Artificial Intelligence Research Specialist, you'll be working on exploratory experimental research on AI safety, focusing on risks from powerful future systems. You'll collaborate with other teams, including Interpretability, Fine-Tuning, and the Frontier Red Team.

Some of the topics our team works on include:

  • 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

You'll work on projects such as:

  • Testing the robustness of our safety techniques by training language models to subvert our safety techniques
  • 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
  • Contribute ideas, figures, and writing to research papers, blog posts, and talks
  • Run experiments that feed into key AI safety efforts at Anthropic

We're looking for candidates who:

  • 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

Strong candidates may also have:

  • Experience authoring research papers in machine learning, NLP, or AI safety
  • Experience with LLMs
  • Experience with reinforcement learning
  • Experience with Kubernetes clusters and complex shared codebases