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Research Scientist
2 months ago
We are seeking a highly skilled researcher to join our Interpretability team at Anthropic. As a member of this team, you will be responsible for developing and implementing research experiments to improve the safety and reliability of large language models.
Our team is focused on mechanistic interpretability, which involves reverse-engineering how trained models work. We believe that a deep understanding of how models operate is essential for making them safe and trustworthy.
As a researcher on our team, you will have the opportunity to work on a wide range of projects, from optimizing sparse autoencoders to building tools for visualizing model features. You will also collaborate closely with researchers and engineers across the company to apply our work to real-world problems.
Responsibilities:- Design and implement research experiments to improve model safety and reliability
- Develop and optimize research workflows to run efficiently and reliably at large scale
- Build tools and abstractions to support rapid pace of research experimentation
- Collaborate with researchers and engineers across the company to apply our work to real-world problems
- 5-10+ years of experience building software
- Highly proficient in at least one programming language (e.g., Python, Rust, Go, Java)
- Strong ability to prioritize and direct effort toward the most impactful work
- Comfortable operating with ambiguity and questioning assumptions
- Want to learn more about machine learning research and its applications
- Experience with designing a code base for rapid experimentation
- Optimizing the performance of large-scale distributed systems
- Collaborating closely with researchers, ML engineers, or data scientists
- Language modeling with transformers
- GPUs or PyTorch