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