Forward-Deployed ML Engineer – Cofolding
Core
Senior ML Engineer driving technical execution for structural biology models in drug discovery, focusing on federated data networks for co-folding, ADMET, and antibody developability.
Role type
Senior hands-on IC machine-learning engineer (structural biology/drug discovery)
Builds
Drug discovery applications and federated ML models for protein structure prediction, binding affinity, and antibody design
Domain
Life sciences / Pharmaceutical R&D / Structural Biology
Deliverable
production ML models
Required skills
Training and deploying contemporary models (AlphaFold, OpenFold, Boltz, ESMFold), MLOps, data preprocessing for protein structures, scalable pipeline design, customer-driven project delivery
Preferred skills
Federated learning, privacy-preserving ML, publications in ML/biology journals
Technologies
OpenFold, Boltz-2, ESMFold, MLOps tooling
Responsibilities
Build and implement ML applications for fine-tuning foundational models; Design model extensions for protein complex and binding affinity prediction; Work with customers to define data strategies and benchmarking; Design scalable training, inference, and deployment pipelines; Collaborate cross-functionally to address drug discovery needs
Seniority
Senior, hands-on IC
