Research Engineer, Pretraining

Anthropic; Greater London; Hybrid; GBP 260,000 - 630,000; Full time

Benefits offered by this job

Competitive compensation

Generous vacation

Parental leave

Flexible working hours

Collaborative office environment

Job summary

Anthropic is seeking a researcher to advance AI systems focused on model architecture and algorithms. The ideal candidate will hold an advanced degree in a relevant field and possess strong software engineering skills. Responsibilities include conducting research, leading projects, and optimizing infrastructure. The position offers a competitive salary ranging from £260,000 to £630,000, with generous benefits and a hybrid working policy. Join us to make a societal impact through your work.

Qualifications

• Advanced degree in Computer Science, Machine Learning, or related field.
• Proven track record of building complex systems.
• Ability to balance research and engineering.

Responsibilities

• Conduct research and implement solutions in areas like AI model architecture.
• Independently lead small research projects.
• Optimize and scale training infrastructure.

Skills

Software engineering skills

Problem-solving

Excellent communication

Python expertise

Experience with deep learning frameworks

Education

Advanced degree (MS or PhD) in Computer Science or related field

Bachelor’s degree in relevant field

Tools

PyTorch

Kubernetes

GPUs

Job description

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.