ML Data Operations Engineer
Core
Support internal data collection efforts powering next-generation consumer machine learning features by executing studies and managing data quality.
Role type
Senior IC ML Data Operations Engineer
Builds
Production ML datasets and data collection infrastructure
Domain
Consumer technology / Machine Learning
Deliverable
production ML models
Required skills
ML experiment design, data collection operations, hardware/software platform management, technical documentation, cross-functional collaboration, process improvement, data quality assurance
Preferred skills
ML data pipelines, annotation tools, dataset management, privacy/consent protocols, multi-study management, technical documentation reading
Technologies
ML data pipelines, annotation tools, dataset management platforms
Responsibilities
Plan and execute internal ML data collection studies; develop understanding of ML experiments and data requirements; bring up and maintain pre-release data collection platforms; create technical documentation for study protocols; manage study logistics and participant flow; collaborate with engineering teams to validate data requirements; track study progress and dataset status; identify workflow gaps and drive process improvements
