Description
Axiom is hiring a senior machine-learning researcher to define its core ML research agenda and build models and agents for drug-discovery toxicology. The role covers end-to-end systems from data generation and cleaning through representation learning, model training, evaluation, inference, deployment, and customer-facing outputs, including multimodal models, foundation models, graph neural networks, contrastive and self-supervised learning, uncertainty estimation, and mechanistic reasoning. The researcher will collaborate with computational biologists, chemists, data engineers, and wet-lab teams, own the research-to-product loop, and ship models and products to customers.
