ML Research Intern
Core
Extend and scale deep generative modeling toolkits for downstream applications in molecular design and protein therapeutics.
Role type
ML Research Intern (Generative AI for Protein Design)
Builds
AI systems for designing protein therapeutics and computational nanobody designs
Domain
Biotechnology / Generative AI / Protein Structure Prediction
Deliverable
production ML models
Required skills
Python, Deep Learning frameworks (PyTorch), Experimental design, Critical thinking, Creative problem solving
Preferred skills
Physics, Molecular biology, Chemistry, Structural biology, Publication record
Technologies
PyTorch, Diffusion models
Responsibilities
Extend in-house deep generative modeling toolkit, Execute deep learning experiments to improve model performance or develop new functionality, Own a scoped project advancing internal methods
Seniority
Intern, Founding team