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.
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 developer tooling to enhance team productivity
- Contribute to the entire stack, from low‑level optimizations 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 modeling using transformer architectures
- Knowledge of reinforcement learning techniques
- Background in large‑scale ETL processes
Sample Projects
- Optimizing the throughput of novel attention mechanisms
- Comparing compute efficiency of different Transformer variants
- Preparing large‑scale datasets for efficient model consumption
- Scaling distributed training jobs to thousands of GPUs
- Designing fault‑tolerance strategies for our training infrastructure
- Creating interactive visualizations of model internals, such as attention patterns
Benefits & Compensation
Annual Salary: £260,000—£630,000 GBP
We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office environment.
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: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices.
Visa sponsorship: We sponsor visas for qualifying candidates. If we make you an offer, we will make every reasonable effort to secure the necessary sponsorship.
Equal Opportunity Employer
Anthropic is an equal‑opportunity employer. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.
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