Research Engineer / Scientist, Alignment
Anthropic- Compensation
- $350k–$500k Published range · Top quartile for Engineering (560 listings)
- Location
- Hybrid - San Francisco, CA, at least 25% in office Remote eligibility
- Employment
- Full-time Mid-level
About the job
About the role
Anthropic is a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems. As a Research Engineer on Alignment Science, you will contribute to exploratory experimental research on AI safety, focusing on risks from powerful future systems (ASL-3 or ASL-4 under the Responsible Scaling Policy), often collaborating with teams including Interpretability, Fine-Tuning, and the Frontier Red Team.
Responsibilities
- Build and run elegant and thorough machine learning experiments to understand and steer the behavior of powerful AI systems.
- Contribute to research areas including Scalable Oversight, AI Control, Alignment Stress-testing, Automated Alignment Research, Alignment Assessments, Safeguards Research, and Model Welfare.
- Test robustness of safety techniques by training language models to subvert them.
- Run multi-agent reinforcement learning experiments to test techniques like AI Debate.
- Build tooling to evaluate novel LLM-generated jailbreaks.
- Write scripts and prompts to produce evaluation questions for safety-relevant reasoning.
- Contribute ideas, figures, and writing to research papers, blog posts, and talks.
Qualifications
- Significant software, ML, or research engineering experience.
- Some experience contributing to empirical AI research projects.
- Familiarity with technical AI safety research.
- Preference for fast-moving collaborative projects.
- Strong candidates may have experience authoring research papers in ML, NLP, or AI safety; experience with LLMs, reinforcement learning, Kubernetes clusters, and complex shared codebases.
Compensation
Annual salary: $350,000—$500,000 USD.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.
Application instructions
Interviews are conducted in Python. Candidates should be based in the Bay Area. Visa sponsorship is available, though not for every role or candidate.
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