Senior Machine Learning Engineer

Build and scale foundation models for single-cell biology and drug discovery using large perturbation datasets, including Tahoe-100M. Work focuses on distributed training, model performance and dependable research infrastructure that helps connect gene-regulatory patterns to cellular responses. The role is listed as on-site and requires at least three days a week in the office. The employer currently accepts applications without a stated fixed deadline.

Relevant computer science, mathematics or equivalent practical background; strong engineering skills, PyTorch or JAX, transformer models and large-scale deep-learning training.