# Research Engineer / Scientist, Pre-training

**Company**: Anthropic
**Location**: Friendly (Travel-Required
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $500,000-$850,000 USD
**Category**: Research
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5468947008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_10a4483b-181

## Description

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests.

We are seeking a Research Engineer to join our Pre-training 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.

## Key Responsibilities

- Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

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

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

- Optimise and scale our training infrastructure to improve efficiency and reliability

- Develop and improve dev tooling to enhance team productivity

- Contribute to the entire stack, from low-level optimisations to high-level model design

## Qualifications

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

- Strong software engineering skills with a proven track record of building complex systems

- Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

- Familiarity with large-scale machine learning, particularly in the context of language models

- Ability to balance research goals with practical engineering constraints

- Strong problem-solving skills and a results-oriented mindset

- Excellent communication skills and ability to work in a collaborative environment

- Care about the societal impacts of your work

## Preferred Experience

- Work on high-performance, large-scale ML systems

- Familiarity with GPUs, Kubernetes, and OS internals

- Experience with language modelling using transformer architectures

- Knowledge of reinforcement learning techniques

- Background in large-scale ETL processes

## Benefits

- Competitive compensation and benefits

- Optional equity donation matching

- Generous vacation and parental leave

- Flexible working hours

- Lovely office space

## Logistics

- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

- Visa sponsorship: We do sponsor visas!

## Annual Compensation Range

$500,000-$850,000 USD

## Skills

### Required
- Python
- deep learning frameworks
- large-scale machine learning
- language models

### Nice to have
- high-performance ML systems
- GPUs
- Kubernetes
- OS internals
- transformer architectures
- reinforcement learning techniques
- large-scale ETL processes

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5468947008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)