ML Engineer - Large Molecules
Core
Build, train, and evaluate large biomolecular ML models (antibody, co-folding, developability) for pharmaceutical R&D workflows.
Role type
Senior IC machine-learning engineer (biomolecular/federated learning)
Builds
Production ML models for antibody modeling, co-folding, and biologics discovery
Domain
Pharmaceutical R&D, structural biology, federated learning
Deliverable
production ML models
Required skills
Python, PyTorch, deep learning on biomolecular data, co-folding models, protein language models, model evaluation, reproducible experiments
Preferred skills
Kubernetes, MLOps, federated learning, distributed training, pharma/biotech domain experience
Technologies
OpenFold, Boltz-2, ESM, AlphaFold, PyTorch
Responsibilities
Build and fine-tune large biomolecular models; convert research prototypes into reliable pipeline components; design evaluations and benchmarks; own workstreams to release; collaborate with product and consortium members
