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
Internal datasets for consumer ML features
Domain
Consumer technology / Machine Learning
Deliverable
production ML models
Required skills
ML data collection study execution, hardware/software platform bring-up, technical documentation, cross-functional collaboration, data quality oversight, process improvement
Preferred skills
ML data pipelines, annotation tools, dataset management, privacy/consent protocols, multi-study management, data anomaly detection
Technologies
ML data pipelines, annotation tools, dataset management platforms
Responsibilities
Plan and execute internal ML data collection studies; maintain pre-release data collection hardware/software platforms; create technical documentation for study protocols; manage study logistics and participant scheduling; collaborate with engineering teams to validate data requirements; track study progress and dataset status.
Seniority
Senior, hands-on IC
