Reality Defender (YC W22)

Data Engineer

• Own the end-to-end data platform for AI research, including continuous ingestion, preprocessing, governance, and export of image, video, audio, and text data at high volume
• Complete and scale the Databricks lakehouse and distributed processing stack
• Make architecture and build-vs-buy decisions as data volume grows
• Build reusable infrastructure for in-house synthetic data generation across modalities
• Implement dataset versioning, lineage, metadata, quality checks, and stable train/evaluation splits
• Own pipeline reliability, observability, and processing cost per dataset
• Partner with ML researchers to create self-serve tools that speed model iteration
• Mentor engineers and improve code review, testing, documentation, and runbooks
• Work with Security and compliance stakeholders on data handling, licensing, and access controls
• Shape the long-term data platform roadmap with engineering and research leadership
• Report to the Director of Data
• Within 12 months, own a mature self-serve platform, scale synthetic data generation, deliver reproducible evaluation datasets, and lead high-leverage roadmap initiatives

Explore Staff Data Platform Engineer at Reality Defender (YC W22). Review requirements and application details.