Prima Mente is seeking a Machine Learning Researcher to join their team in San Francisco, CA. The role focuses on designing, training, and evaluating foundation models that learn from large-scale biological data.
About the Role
As a Machine Learning Researcher, you will work on designing and implementing ML models for biological data, partnering with biologists and clinicians, running end-to-end experiments, and developing evaluation suites for robustness and clinical relevance. You will also perform in-depth model analysis and collaborate on research communication.
About You
Required:
Strong background in machine learning or a closely-related field (e.g. deep learning, statistics, optimisation).
Demonstrated experience training and evaluating modern ML models (e.g. transformers, diffusion, graph models, sequence models).
Solid software skills in Python and at least one major ML framework (PyTorch, JAX, or TensorFlow).
Experience designing and running non-trivial experiments: controlling for confounders, building robust baselines, and doing thorough error analysis.
Preferred:
Experience with large-scale data (e.g. 100B+ tokens or equivalent) or distributed training.
Background in computational biology, genomics, epigenomics, neuroscience, or related areas.
Work on foundation models (language, vision, or multi-modal) and interest in applying that to biology.