Senior ML Research Engineer
Core
Develop and improve machine learning models for molecular and structural biology (co-folding, binding affinity) to enable real drug-discovery workflows.
Role type
Senior IC machine learning research engineer (molecular/structural biology)
Builds
Robust ML models and tooling for drug design applications
Domain
Pharmaceutical R&D, structural biology, federated learning
Deliverable
production ML models
Required skills
Deep learning model training and fine-tuning, Python, PyTorch, multi-GPU and distributed training, structural biology and protein–ligand data formats, data pipeline diagnosis, scientific benchmarking and evaluation
Preferred skills
Federated learning and privacy-preserving ML, drug design model development in pharma/biotech, publications at top-tier ML or structural biology venues
Technologies
PyTorch, Python, multi-GPU environments
Responsibilities
Develop and improve ML models for co-folding and binding affinity; build benchmarking and evaluation strategies; diagnose and resolve data quality and pipeline issues; stay current with research literature; collaborate with customers and engineers on real-world use cases
Seniority
Senior, hands-on IC
