Research Scientist / Research Engineer, Pre-training

Job Description

Anthropic is seeking a Research Scientist/Research Engineer to join their Pre-training team in London. Anthropic's mission is to create reliable, interpretable, and steerable AI systems. The ideal candidate will contribute to the development of the next generation of large language models, ensuring they are safe, steerable, and trustworthy.

The Research Scientist/Research Engineer will work at the intersection of research and engineering, conducting research, implementing solutions, and optimizing training infrastructure. They will also contribute to the entire stack, from low-level optimizations to high-level model design.

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

Requirements:

• 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

The role offers:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Visa sponsorship