Mechanistic Interpretability Scientist for Genomic AI
Radical Numerics
Radical Numerics is seeking a Member of Technical Staff, Mechanistic Interpretability, to study how multimodal genome language models represent and reason about information. This research-oriented role emphasizes model understanding, driving scientific discovery and innovation in biological applications. The ideal candidate possesses a strong machine learning background, expertise in deep learning architectures, and proficiency in Python and PyTorch to develop tools for mechanistic interpretability. #J-18808-Ljbffr Radical Numerics
Vacancy posted 3 days ago
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