Teams at ElevenLabs

Build large-scale data pipelines and infrastructure for frontier AI model training. Develop data-processing models such as classifiers, quality filters, and labeling systems; design deduplication, quality scoring, labeling, and augmentation strategies; and create reliable tooling for researchers to explore and train on massive datasets. The role also evaluates how data quality and composition affect model outcomes, with web crawler experience as a bonus.

Operate and improve large-scale NVIDIA GPU clusters across bare-metal and rented capacity. Build automation for provisioning, health checks, remediation, monitoring, scheduling, and capacity management. Own Linux images, drivers, CUDA, containers, networking, storage, and Slurm. Diagnose performance and hardware issues, evaluate GPU providers, support ML training workloads, and maintain secure infrastructure. The role also includes hardware installation, datacenter coordination, and vendor management.

Own the end-to-end frontend experience for AI music creation, from defining ambiguous product problems through launch. Build complex React and TypeScript interfaces, collaborate with research and design, integrate evolving music models, and coordinate with legal, safety, growth, and engineering stakeholders. The role requires strong product judgment, pragmatic trade-off decisions, and comfort working across frontend and backend systems in a high-ownership environment.