Manifold Bio builds AI models for protein therapeutic design, trained on proprietary experimental data generated at unprecedented scale
Job Summary
Manifold Bio builds AI models for protein therapeutic design, trained on proprietary experimental data generated at unprecedented scale.
You will work alongside our existing model training team to accelerate the development of foundation models fine-tuned on Manifold's data, bringing additional depth in pre-training methodology, architecture development, and large-scale training.
Advance the team's ongoing foundation model training efforts—pretraining, fine-tuning, and evaluating folding, docking, language, and generative design models on Manifold's proprietary experimental data.
Matching Summary
Manifold Bio builds AI models for protein therapeutic design, trained on proprietary experimental data generated at unprecedented scale.
Skills & Requirements
Must-have
protein foundation models
AlphaFold architecture
PyTorch and/or JAX
large-scale model training
deep learning architectures
protein structure data
Nice-to-have
protein generative design methods
protein language models
distributed computing with Ray
Kubernetes and AWS
protein engineering wet lab techniques
Key Requirements
2+ years of hands-on experience
Demonstrated experience pretraining and/or fine-tuning protein foundation models