Research Engineer - Scalable Interpretability
Tasks
- Create diverse evaluations of model behavior
- Design architectures and training objectives
- Develop scalable interpretability assistants
- Predict unexpected subtle behaviors from model activations
- Train and scale training and inference pipelines
Perks/Benefits
Skills/Tech-stack
Deep learning | Experiment design | Fine Tuning | Language Modeling | Machine Learning | Model Evaluation | Model architectures | Neural Networks
Education
N/A
Regions
Countries
States
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