Research Scientist (Takeoff Intel)

Join Anthropic, a leading AI safety and research company, as a Research Scientist focused on measuring and understanding recursive self-improvement in large models. You will design evaluations, build quantitative models, run experiments, and collaborate with various teams. This role offers comprehensive benefits, a competitive salary, and the opportunity to make a significant impact in the field of AI safety.

• Identifying the signals that track AI R&D acceleration and designing the evaluations that measure them.
• Building quantitative models of capability growth and self-improvement dynamics, grounded in evaluation and telemetry data.
• Running experiments and evaluations to test hypotheses about automation and capability, and making opinionated research bets.
• Can design an evaluation from a vague question and defend the methodology
• Are motivated by impact: comfortable with work whose output is graded assessments and system-card sections more often than papers
• Care about AI safety and think carefully about where rapid capability growth leads
• Have done hands-on research on large language models: pretraining, fine-tuning, RL, evals, or agent systems
• Write clearly and calibrate: state confidence, name what would change your conclusion
• Have strong quantitative instincts, are comfortable with quantitative modeling and reasoning
• Have experience in forecasting, may have published AI forecasting scenarios
• A physics, applied-math, or similarly quantitative background that moved into ML
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Written a system card section, capability report, or methodology document that others cite
• Trained or RL'd frontier models hands-on
• Experience with scaling laws, capability forecasting, or emergent-capability studies
• We encourage you to apply even if you do not believe you meet every single qualification
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Experience supervising and correcting AI-written code
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this