# Research Engineer / Scientist, Alignment Science - London

**Company**: Anthropic
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: £260,000-£370,000 GBP
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/4610158008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_96fdf2a4-a0e

## Description

You will build and run machine learning experiments to understand and steer powerful AI systems, focusing on safety and beneficial outcomes.

As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, particularly risks from future powerful systems.

Responsibilities include:

- Designing and running experiments to test AI safety techniques

- Collaborating with teams like Interpretability, Fine-Tuning, and Frontier Red Team

- Contributing to research papers, blog posts, and talks

- Building tooling to evaluate novel LLM-generated jailbreaks

- Writing scripts and prompts to test models' reasoning abilities

Requirements:

- Significant software, ML, or research engineering experience

- Experience contributing to empirical AI research projects

- Familiarity with technical AI safety research

- Ability to work collaboratively and pick up slack

- Care about AI impacts

Strong candidates may also have:

- Experience authoring research papers in machine learning, NLP, or AI safety

- Experience with LLMs, reinforcement learning, or Kubernetes clusters

The annual compensation range for this role is £260,000-£370,000 GBP.

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.

## Skills

### Required
- machine learning
- AI safety
- research engineering
- Python

### Nice to have
- LLMs
- reinforcement learning
- Kubernetes clusters

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/4610158008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)