Member of Technical Staff
Core
Building high-quality, petabyte-scale data pipelines and systems to support the training of fundamental World Models.
Role type
Senior IC data infrastructure engineer (ML)
Builds
Production data processing pipelines, automated quality assessment tools, and compute orchestration systems 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 metrics and validation, experiment design and execution, CI/CD automation, throughput and compute optimization
Preferred skills
Experience with large video datasets, dataset curation for training, internal tooling for evaluation/analysis in ML environments
Technologies
Spark, Ray, Airflow, Python, PyTorch, GitHub
Responsibilities
Define data quality metrics and acceptance thresholds for models, build algorithms for automated data quality assessment and domain adaptation, 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