# Research Engineer, Domain Scaling

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $1-$2 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5271380008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_858a873a-a3a

## Description

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

The Domain Scaling team aims to make Claude world-class at real-world knowledge work in domains like finance, healthcare, and legal.

### Responsibilities

- Own the data strategy for knowledge work verticals end-to-end, from task sourcing through RL training

- Manage technical relationships with external data vendors, including evaluation of data quality and reward design

- Collaborate with domain experts to design data pipelines and evaluations

- Explore novel ways of creating RL environments for high-value tasks

- Develop and improve QA frameworks to catch reward hacking and ensure environment quality

- Run generalization experiments to measure how data strategy changes improve model capabilities

- Partner with other RL research teams and product teams to translate capability goals into training environments and evaluations

### Requirements

- Experience with fine-tuning large language models for specific domains or real-world use cases

- Experience with reinforcement learning, reward design, or training data curation for LLMs

- Comfortable managing technical vendor relationships and iterating quickly on feedback

- Strong cross-functional collaboration skills

- Passionate about making AI more useful and accessible across different industries

### Nice to Have

- Experience training production ML systems

- Experience designing evaluations or benchmarks for LLMs

- Domain expertise in a vertical where Anthropic would like to make its models more useful

- Experience working with external vendors or technical partners

The annual compensation range for this role is $1-$2 USD.

## Skills

### Required
- reinforcement learning
- large language models
- data curation
- vendor management
- collaboration

### Nice to have
- production ML systems
- evaluation design
- domain expertise
- external vendor management

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5271380008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)