Research Engineer - Scalable Interpretability

Transluce is seeking a scientist or engineer to develop scalable interpretability assistants that detect subtle behaviors in AI model activations. The role involves creating diverse evaluations, designing novel architectures for training, and scaling pipelines to support up to 1-trillion-parameter models within a collaborative, non-profit research environment. This position focuses on advancing frontier AI research with direct impact on industry standards and regulatory evaluation.