Member of Technical Staff - Data Research Engineer
Core
Create high-quality datasets for training and evaluation of foundation models, run data ablation experiments, and build scalable data pipelines for ingestion and processing.
Role type
Senior IC data research engineer (multimodal/foundation models)
Builds
Production datasets, data pipelines, and auditing tools for large-scale model training
Domain
AI/ML, Data Engineering, Multimodal Data (image, video, audio)
Deliverable
production ML models
Required skills
Python, distributed data-processing frameworks (Spark, Ray), workflow orchestration (Airflow), large-scale data processing (petabyte scale, trillion rows), dataset quality evaluation, controlled model-training experiments, multimodal data handling
Preferred skills
Experience building datasets for language or multimodal foundation models, experience with unstructured or semi-structured real-world datasets
Technologies
Python, Spark, Ray, Airflow
Responsibilities
Create high-quality datasets for training and evaluation; run experiments on new datasets (data ablations) to assess their impact; develop and maintain scalable data pipelines for data ingestion, pre-processing, filtering, and annotation; analyse real-world multimodal datasets to assess quality, diversity, and relevance; build tools and workflows for dataset auditing, visualization, and versioning
Seniority
Senior, hands-on IC