You will lead a team working to build, scale, and optimize the machine learning infrastructure that powers Recursion’s drug discovery platform. From model training pipelines to production deployment systems, to agent infrastructure and Large Language Models, you will ensure our ML models can operate at massive scale across our supercomputing infrastructure, both on‑prem and in the cloud. You will work cross‑functionally across ML engineering, data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions.

In This Role You Will:

• Enable AI/ML, LLM, and Agentic Systems teams for scale – build and operate platforms that allow data scientists and ML engineers to train, deploy, and monitor models across Recursion’s massive datasets and deep learning workloads.
• Act as a mentor, coach, and sponsor – share technical, leadership and managerial skills in MLOps, distributed computing, and infrastructure engineeri...