Teams at Dyno Therapeutics

Build and scale machine learning infrastructure, training systems, inference workflows, and agentic AI tools for protein design research. Improve distributed training performance, GPU utilization, reliability, and scalability while partnering with AI scientists and protein engineers. Translate research prototypes into reusable production systems, contribute to technical direction, evaluate emerging ML tools, and support scientific communication.

Lead development of external AI platforms for biological design. Define benchmarks, build AI-driven workflows that integrate models, data, and experimental feedback, translate scientific questions into production APIs and user tools, collaborate with wet lab teams to validate outputs, and move prototypes to reliable production systems while shaping product direction.