Member of Technical Staff
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)
Builds
Production data pipelines, automated quality assessment tools, and compute infrastructure for model training.
Domain
Artificial Intelligence / Machine Learning / Data Infrastructure
Deliverable
production ML models
Required skills
Deep learning fundamentals, distributed processing and orchestration, Python, data quality assessment, experiment design, CI/CD automation, throughput optimization
Preferred skills
Experience with large video datasets, dataset curation, internal evaluation tooling
Technologies
Spark, Ray, Airflow, Python, PyTorch, GitHub
Responsibilities
Define data quality metrics and validation checks; build algorithms for automated data quality assessment and domain adaptation; track datasets, metadata, and provenance; own CI/CD and development tooling for the data stack; optimize throughput, storage, and compute utilization.
Seniority
Senior, hands-on IC
