# Research Engineer, Science of Scaling

**Company**: Anthropic
**Location**: London, UK
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: £260,000-£630,000 GBP
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5126127008
**Canonical**: https://yubhub.co/jobs/job_f49203e0-6c6

## Description

We are seeking a Research Engineer/Scientist to join the Science of Scaling team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Responsibilities:

- Conduct research into the science of converting compute into intelligence

- Independently lead small research projects while collaborating with team members on larger initiatives

- Design, run, and analyze scientific experiments to advance our understanding of large language models

- Optimize training infrastructure to improve efficiency and reliability

- Develop dev tooling to enhance team productivity

You may be a good fit if you:

- Have significant software engineering experience and a proven track record of building complex systems

- Hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

- Are proficient in Python and experienced with deep learning frameworks

- Are results-oriented with a bias towards flexibility and impact

- Enjoy pair programming and collaborative work, and are willing to take on tasks outside your job description to support the team

- View research and engineering as two sides of the same coin, seeking to understand all aspects of the research program to maximize impact

- Care about the societal impacts of your work and have ambitious goals for AI safety and general progress

Strong candidates may have:

- Experience with JAX

- Experience with reinforcement learning

- Experience working on high-performance, large-scale ML systems

- Familiarity with accelerators, Kubernetes, and OS internals

- Experience with language modeling using transformer architectures

- Background in large-scale ETL processes

- Experience with distributed training at scale (thousands of accelerators)

Strong candidates need not have:

- Experience in all of the above areas , we value breadth of interest and willingness to learn over checking every box

- Prior work specifically on language models or transformers; strong engineering fundamentals and ML knowledge transfer well

- An advanced degree , exceptional engineers with strong research instincts are equally encouraged to apply

The annual compensation range for this role is £260,000-£630,000 GBP.

## Skills

### Required
- Python
- Deep learning frameworks
- Software engineering
- Machine learning
- Advanced degree in Computer Science or related field

### Nice to have
- JAX
- Reinforcement learning
- High-performance, large-scale ML systems
- Accelerators
- Kubernetes
- OS internals
- Language modeling using transformer architectures
- Large-scale ETL processes
- Distributed training at scale