# Research Engineer, Takeoff Intel

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**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/5416882008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_e6b442b1-096

## Description

## Job Overview

As a Research Engineer on Takeoff Intel at Anthropic, you will build and run evaluation and measurement instruments for AI R&D capabilities. This role involves working across various aspects such as evals infrastructure, large-scale data processing, and analysis tooling, with a focus on shipping impactful projects.

## Responsibilities

- Design, build, and run capability evaluations and measurement instruments at scale.

- Develop data and analysis pipelines to turn model outputs and telemetry into reliable metrics.

- Prototype new instruments quickly, validate them, and decide what to keep.

- Review and supervise AI-written code as part of the workflow.

- Collaborate with research scientists to define what's worth measuring.

- Contribute to internal write-ups and public reporting.

## Requirements

- Experience shipping an evaluation, data product, or research library end-to-end.

- Ability to prototype quickly and handle messy, large-volume data.

- Experience running experiments on large language models.

- Comfortable working from vague questions rather than specs.

- Clear communication and collaboration skills.

## Nice to Have

- Built evaluation harnesses or benchmark infrastructure for LLMs.

- Experience with large-scale ML or data infrastructure.

- Developed tools or libraries relied on by other researchers.

- Track record of catching errors in AI-written code.

## Compensation

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

## Logistics

- Remote-friendly with travel required.

- 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.

## Skills

### Required
- AI R&D capabilities
- evaluation and measurement instruments
- large-scale data processing
- analysis tooling
- ML

### Nice to have
- evaluation harnesses
- benchmark infrastructure for LLMs
- large-scale ML or data infrastructure
- tools or libraries for researchers

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5416882008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)