VI is the market leading Enterprise-AI platform for health, serving the world’s largest health organizations — from Fortune 500 health providers to pharma and consumer brands — helping them maximize acquisition, enrollment, engagement, retention, and health outcomes. Vi offers 3 main product lines: Activate, Engage and Operate.
Backed by $125M+ in R&D, our powerful platform serves over 175 million members daily — and growing. We are based in New York, Austin, Nashville & Tel Aviv.
We are seeking a talented ML Data Engineer to join our R&D team. In this role, you’ll be responsible for shaping our data infrastructure, empowering data science initiatives, and ensuring the reliability of our data ecosystem. You will build scalable data pipelines, ETLs, and ELTs to unify, normalize, and aggregate data in our data warehouse and feature store. Your role will also involve developing complex preprocessing pipelines for machine learning and advanced quality checks, identifying and mitigating anomalies, drifts, and inconsistencies that could impact downstream analyses and models. Beyond technical proficiency, a strong business intelligence (BI) acumen will be essential for understanding the context and implications of each data point, ensuring we drive data-informed decision-making across the organization.