# Research Scientist, Takeoff Intel

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $350,000-$850,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5370669008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2d223da0-9cb

## Description

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.

We're looking for a Research Scientist to focus on measuring and understanding recursive-self-improvement in large models. You will use your judgment to decide what's worth measuring, design evaluations and models, and interpret results.

Responsibilities:

- Identify signals that track AI R&D acceleration and design evaluations to measure them

- Build quantitative models of capability growth and self-improvement dynamics

- Run experiments and evals to test hypotheses about automation and capability

- Make opinionated research bets and own the outcome

- Write graded assessments of what measurements show

- Collaborate with pretraining, RL, economic research, and policy teams

Requirements:

- Hands-on research experience with large language models

- Strong quantitative instincts and comfort with quantitative modeling

- Experience in forecasting and publishing AI forecasting scenarios

- Ability to design evaluations and defend methodology

- Clear writing and calibration skills

- Motivation by impact and comfort with graded assessments

- Care about AI safety and rapid capability growth

Strong candidates may also have:

- Trained or RL'd frontier models hands-on

- Experience with scaling laws, capability forecasting, or emergent-capability studies

- A physics, applied-math, or similarly quantitative background

- Written system card sections, capability reports, or methodology documents

- Experience supervising and correcting AI-written code

The annual compensation range for this role is $350,000-$850,000 USD.

Logistics:

- Minimum education: Bachelor's degree or equivalent

- Required field of study: Relevant to the role

- Minimum years of experience: Correlates with internal job level requirements

- Location-based hybrid policy: 25% office time

- Visa sponsorship: Available

## Skills

### Required
- large language models
- quantitative modeling
- forecasting
- evaluation design
- writing
- AI safety

### Nice to have
- trained frontier models
- scaling laws
- capability forecasting
- emergent-capability studies
- physics
- applied-math
- system card sections
- capability reports
- methodology documents
- AI-written code supervision

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5370669008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)