Software Engineering Intern
Building the AI data engine for any modality and scale Eventual enables developers to build the AI systems of the future by making multi-modal data and models work together seamlessly. Every breakthrough AI application—from foundation models to autonomous vehicles relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) were built for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. Eventual was founded in 2022 to change that. Our mission is to make working with any kind of data—images, video, audio, text—as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. B