Jobs

Radical Numerics is seeking a Member of Technical Staff, AI Bio, to develop frontier AI architectures for biological problems. This role involves adapting large model backbones, such as sequence and multimodal foundation models, to tasks across genomics, protein biology, and cellular systems. The ideal candidate will design post-training pipelines, domain adaptation strategies, and evaluation frameworks for state-of-the-art ML frameworks to reason over biological data. You will collaborate with computational biologists and systems architecture researchers to translate machine learning advances into capabilities for modeling biological systems, with a focus on genome interpretation, regulatory modeling, and biological design. We are looking for research scientists and engineers with a strong background in machine learning and deep learning, particularly with experience applying ML models to biological data.