Research Engineer, Pretraining
Anthropic · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Anthropic Limited', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
The job posting also states: “Visa sponsorship: We do sponsor visas!”
- Verification category
- Employer on official sponsor register
- Role category
- Backend
- Last verified
- 2026-10-25
- First indexed
- 2026-10-25
- Posted date
- 2026-02-16
- ATS / Feed source
- Greenhouse job board
Role Description (Excerpt)
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. 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 Pretraining 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 analyze scientific experiments to advance our understanding of large language models • Optimize 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 optimizations to high-level model design Qualifications: •…
Excerpt only — read the full requirements and apply directly on Anthropic's career page. We do not process applications.