About this role
Member of Technical Staff, Mechanistic Interpretability at Radical Numerics. Location: San Francisco or Tokyo. Role: studying models, building tooling, designing experiments Requirements: Strong ML research background in LLMs/representation learning, deep learning architectures (transformers), proficiency in Python and PyTorch, strong experimental and scientific judgment, excellent communication. Category: Research and Development (R&D) Seniority: Senior Level Tools: Python, PyTorch Commitment: Full Time Workplace: Onsite Languages: English