Member of Technical Staff (Data Intelligence)
Core
Build and operate large-scale data and compute systems to ensure high-quality data for training fundamental World Models.
Role type
Senior IC data infrastructure engineer (ML data stack)
Builds
Data processing pipelines, automated quality assessment tools, and compute infrastructure for model training
Domain
Artificial Intelligence / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Deep learning fundamentals, distributed processing and orchestration, Python, CI/CD automation, data quality metrics, experiment tracking
Preferred skills
Experience with large video datasets, dataset curation, internal tooling for evaluation/analysis
Technologies
Spark, Ray, Airflow, GitHub, PyTorch
Responsibilities
Define data quality metrics and validation checks for models, build algorithms for automated data quality assessment, track datasets and metadata for reproducibility, own CI/CD and development tooling for the data stack, optimize throughput and compute utilization across pipelines
Seniority
Senior, hands-on IC
