Teams at Diffractive Labs

Own day-to-day office and back-office operations, including payroll, pensions, benefits, HR administration, onboarding, recruiting support, invoices, expenses, procurement, vendor management, events, and travel booking. The role requires strong organization, discretion with sensitive information, proactive follow-through, and confident communication with employees and external providers.

Build and own cloud infrastructure and GPU compute environments for ML model training and deployment. Implement IaC, CI/CD, orchestration, containerisation, monitoring, security, and internal tooling to enable reproducible, scalable research-to-production ML workflows.

Develop, train, and fine-tune machine-learned interatomic potentials (MLIPs) for magnetic and structural materials. Design DFT dataset workflows, active learning loops, and extend MLIP architectures to capture spin-lattice interactions. Build reproducible model and dataset pipelines and collaborate with materials scientists to translate physical intuition into training objectives.