Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 Machine Learning @ 3 Communication @ 3 Search Engines @ 3 Slack @ 3 LLM @ 3Details
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.
Responsibilities
- Designing and implementing from scratch new information architecture strategies
- Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
- Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data
- Designing and evaluating advanced agentic search capabilities
You may be a good fit if you:
- Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
- Have good machine learning research experience
- Have experience developing software that utilizes Large Language Models such as Claude
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to partner with world-class ML researchers to develop new LLM capabilities
- Care about the societal impacts of your work
- Have clear written and verbal communication
Strong candidates will also have experience with:
- Collaborating with product teams to quickly prototype and deliver innovative solutions
- Building complex agentic systems that utilize LLMs
- Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing
Benefits and Logistics
- Competitive annual salary range between £250,000 - £270,000 GBP
- Education requirement: Bachelor’s degree in a related field or equivalent experience
- Location-based hybrid policy: at least 25% office presence expected
- Visa sponsorship available
- Inclusive culture encouraging applications from diverse and underrepresented groups
- Flexible working hours, generous vacation and parental leave, equity donation matching, and collaborative office space
- Strong emphasis on communication, collaboration, and impactful large-scale AI research