TL;DR
Research Engineer, Science Of Scaling (AI): Developing the next generation of large language models with an accent on cutting-edge research and practical engineering. Focus on optimizing training infrastructure, designing scientific experiments, and enhancing team productivity.
Location: Hybrid, must be in one of Anthropic's offices at least 25% of the time.
Salary: £260,000 - £630,000 GBP
Company
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems.
What you will do
- Conduct research into the science of converting compute into intelligence.
- Independently lead small research projects and collaborate 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.
Requirements
- 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.
- We require at least a Bachelor's degree in a related field or equivalent experience.
Nice to 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.
Culture & Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Lovely office space.
Hiring process
- We encourage you to apply even if you do not believe you meet every single qualification.