Research Scientist, Data

📋 Description

• Own large-scale data pipelines for ML model training
• Curate and manage diverse multimodal datasets for pre-/mid-training
• Build scalable data ingestion, labeling, filtering, augmentation, and storage
• Ensure data quality, privacy, and ethical compliance
• Optimize data processing for distributed training pipelines
• Prototype production-ready methods for dataset creation and management

🎯 Requirements

• 5+ years building data pipelines for ML in research or model training
• Strong data engineering and ML data curation for multimodal models
• Experience with distributed data systems (Spark, Hadoop, Ray, etc.)
• Production-grade data infrastructure for ML pipelines
• Tools for labeling, filtering, deduplication, QA, dataset management
• Python, SQL, PySpark; cloud platforms AWS/GCP/Azure

🎁 Benefits

• Competitive salary and substantial equity
• Full health benefits, 401k matching, and more
• Collaborative, mission-driven team with growth opportunities
• Flexible on-site/remote hybrid (HQ in Palo Alto, CA)