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Multimodal data infrastructure for AI and physical AI

Co-Founder

EVENTUAL LAUNCHES PREDICTION MARKET MEDIA VENTURE WITH POLYMARKET DATA PARTNERSHIP & RAISES SEED

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Technical Lead, Multimodal Research

Eventual builds multimodal AI infrastructure for analyzing large-scale video and sensor data used by Physical AI teams. The Technical Lead, Multimodal Research will set the modeling and evaluation strategy, advance vision and multimodal approaches from research prototypes into production, and guide cost-efficient inference at petabyte scale.

Research Engineer, Multimodal Data

Eventual builds infrastructure for querying and processing large-scale multimodal data for Physical AI applications. The Research Engineer will lead visual understanding capabilities, train and evaluate vision and multimodal models, reduce corpus-scale annotation costs, and deliver production-ready datasets and inference pipelines for customer models and robots.

Eventual Computing is focused on revolutionizing data platforms for Physical AI systems. As a Research Engineer, you will own the visual understanding capabilities, making vast amounts of video queryable and efficient for AI training runs.

Software Engineer, Multimodal Backend Systems

Eventual builds infrastructure for multimodal physical AI and robotics data, including video, LiDAR, radar, and sensor data. The Software Engineer will build core multimodal backend systems and architecture, developing scalable video, telemetry, spatial data, and product systems used by customers while independently solving complex technical challenges.