Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 3 Machine Learning @ 3 Communication @ 3 Search Engines @ 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.
Requirements
- Very experienced Python programmer who can quickly produce reliable, high quality code
- Good machine learning research experience
- Experience developing software that utilizes Large Language Models such as Claude
- Results-oriented, with a bias towards flexibility and impact
- Enjoy pair programming
- Ability to partner with world-class ML researchers
- Clear written and verbal communication
- Care about societal impacts
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, distributed data processing
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office spaces
Logistics
- Education: Bachelor’s degree or equivalent experience
- Location-based hybrid policy with 25% in-office expectation
- Visa sponsorship available but case-dependent
- Encouragement to apply even if not meeting every qualification
- Collaborative research environment with high-impact AI goals
- Headquarters in San Francisco
- Guidance on AI usage in application process