Manifold Bio is a company focused on building AI models for protein therapeutic design using proprietary experimental data. They are seeking an AI/ML Scientist to advance their foundation model training efforts, working on pre-training, fine-tuning, and evaluation of models to improve drug design capabilities.
Responsibilities:
- 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
- Bring depth in training methodology, architecture selection, and optimization to complement the existing team's expertise
- Develop and scale training pipelines for distributed, multi-GPU and multi-node training runs
- Integrate foundation model outputs into mBER to improve binder design success rates and enable new design capabilities
- Design and execute ML experiments with clear hypotheses, rigorous evaluation frameworks, and systematic analysis
- Establish best practices for mixed-precision training, gradient checkpointing, and computational efficiency at scale
- Produce clear documentation and analysis supporting architecture and training decisions