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.
Research Engineer / Scientist, Alignment en Anthropic
Presencial - San Francisco, CA
Más vacantes en AnthropicRequirements
Skills
- significant software, ML, or research engineering experience
- some experience contributing to empirical AI research projects
- 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
- experience authoring research papers in machine learning, NLP, or AI safety
- experience with LLMs
- experience with reinforcement learning
Responsibilities
- build and run elegant and thorough machine learning experiments to understand and steer the behavior of powerful AI systems
- contribute to exploratory experimental research on AI safety with a focus on risks from powerful future systems (ASL-3 or ASL-4)
- collaborate with other teams including Interpretability, Fine‑Tuning, and the Frontier Red Team
- test the robustness of safety techniques by training language models to subvert them
- run multi‑agent reinforcement learning experiments to test techniques such as AI Debate
- build tooling to efficiently evaluate the effectiveness of novel LLM‑generated jailbreaks
- write scripts and prompts to efficiently produce evaluation questions for models’ reasoning abilities in safety‑relevant contexts
- contribute ideas, figures, and writing to research papers, blog posts, and talks
- run experiments that feed into key AI safety efforts at Anthropic
Technologies
PythonLLMsreinforcement learningmachine learningnatural language processing
Descubre si tu currículum está listo para esta vacante
Mira cómo nuestra IA puede optimizar tu currículum y aumentar tus chances en este puesto.