Anthropic
Research Engineer / Scientist, Alignment
$350K–$500K
San Francisco, CA +1 · Full-time · Posted Apr 14, 2025
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- Minimum years correlate with internal job level requirements; no specific number stated.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience. Required field of study: a field relevant to the role, as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; the company says it will make every reasonable effort to obtain a visa if it makes an offer.
About the job
Conduct exploratory empirical research and build machine-learning experiments and tools to understand and steer powerful AI systems toward safer behavior.
What you'll do
- Run experiments on AI safety, including testing safety techniques and studying alignment failures.
- Build evaluation tools and conduct research on oversight, AI control, safeguards, and related alignment topics.
- Contribute ideas and writing to research papers, blog posts, talks, and AI safety efforts.
What they ask for
- Significant software, ML, or research engineering experience.
- Some experience contributing to empirical AI research projects.
- Some familiarity with technical AI safety research.
Nice to have
- Experience authoring research papers in machine learning, NLP, or AI safety; experience with LLMs or reinforcement learning.
- Experience with Kubernetes clusters and complex shared codebases.
Pay
$350,000 — $500,000 USD (base salary)
Tools
Python, Kubernetes
AI focus
Empirical AI alignment and safety research, including scalable oversight, AI control, alignment stress-testing, automated alignment research, assessments, safeguards, and model welfare.
Model-written summary · the original posting is authoritative