Job Description
📋 Description Create features for models and agents; pipelines over terabytes of data. Engineer features to improve income/wealth and home buyer/seller models. Build and scale a world-class data lake for queryable data. Develop terabyte-scale feature pipelines with production-grade reliability. Validate and guard outputs so agents can act without human input. Own end-to-end path from raw data to deployable features/models. 🎯 Requirements 2-4+ years as data scientist, ML/data engineer, or data-heavy role. Proficient in Python and SQL. First-principles thinker; turn datasets into models. Strong data engineering/data modeling intuition; cleaning/ingestion focus. Strong engineering background; comfortable deploying production pipelines. Willingness to work in NYC office; relocation package provided. 🎁 Benefits Relocation package for NYC office. Competitive equity and marquee benefits. Hands-on, production-grade ML at scale. Collaborative, fast-growing startup culture.
