Teams at Isomorphic Labs

Design, operate, and extend scheduling systems for large-scale machine learning workloads on Kubernetes. Optimize GPU and TPU utilization through gang scheduling, topology-aware placement, and preemption. Build custom Kubernetes controllers, operators, and CRDs; ensure reliability through operational processes, runbooks, and SLOs; and collaborate with ML researchers and infrastructure teams to support efficient batch inference and training.

Lead the Platform group in designing, operating, and improving cloud infrastructure for research, development, production, and machine-learning training and inference. Own Kubernetes, infrastructure as code, deployment tooling, monitoring, automation, software lifecycle practices, and architectural decisions. Collaborate with engineers, scientists, ML researchers, product, business development, and operations teams to deliver reliable infrastructure in a fast-moving environment.

Leads corporate development and inorganic growth initiatives across digital biology, biotechnology, and enabling technologies. Responsibilities include market landscaping, scientific and commercial opportunity evaluation, business case development, valuation modeling, deal structuring, negotiation, due diligence, transaction closing, strategic investments, executive recommendations, pipeline governance, and cross-functional coordination with R&D, machine learning, legal, finance, and commercial teams.