Machine Learning Scientist
Core
Architect novel generative models to design functional proteins for wet lab assays and cure diseases.
Role type
Senior IC machine learning scientist (generative modeling & protein design)
Builds
Production generative models for protein design
Domain
Synthetic biology / Computational biology
Deliverable
production ML models
Required skills
generative modeling, deep learning architecture, ML data pipeline construction, cloud hardware training/inference, model optimization, wet lab inference planning
Preferred skills
computational biology, protein design, natural science background (physics/biology/chemistry)
Technologies
cloud accelerators, version control systems, ML libraries
Responsibilities
Build and prototype generative models for protein design; curate training and evaluation data; propose ML evaluation metrics aligned with real-world success; collaborate on codebase with scientists and engineers; maintain compute and ML development infrastructure; plan wet lab testing campaigns and run model inference on biological targets; learn from wet lab feedback to improve models
Seniority
Senior, hands-on IC