Research Engineer, Interpretability
Research Engineer, Interpretability
Research Engineer, Interpretability
Anthropic
Anthropic is seeking a Research Engineer 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 models.
Qualification
- Strong background in machine learning and AI
- Experience with neural networks and deep learning frameworks
- Proficiency in programming languages such as Python
- Familiarity with research methodologies and scientific writing
- Ability to work collaboratively in a fast-paced environment
Responsibility
- Conduct research on mechanistic interpretability of neural networks
- Develop tools and methodologies for analyzing AI models
- Collaborate with a team of researchers and engineers
- Publish findings in relevant scientific forums
- Engage in discussions and presentations about interpretability challenges
