Research Scientist, Interpretability
Research Scientist, Interpretability
Research Scientist, Interpretability
Anthropic
Anthropic is seeking a Research Scientist for its Interpretability team, focused on understanding and improving the safety of AI systems through mechanistic interpretability. The role involves reverse-engineering neural networks to enhance trust and reliability in AI technologies.
Qualification
- PhD in a relevant field (e.g., computer science, machine learning, neuroscience)
- Strong background in machine learning and neural networks
- Experience with interpretability research or related areas
- Proficiency in programming languages such as Python
- Ability to work collaboratively in a research team
Responsibility
- Conduct research on mechanistic interpretability of neural networks
- Develop methodologies to reverse-engineer trained models
- Collaborate with a team of researchers and engineers
- Publish findings in relevant scientific forums
- Contribute to the design and implementation of interpretability tools
