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Senior Computer Vision Engineer (Egocentric), Data Foundry

Stord - Remote - Remote

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Stord is building a new AI business line at the intersection of robotics, computer vision, and physical AI data. The company operates the largest independent e-commerce fulfillment network in the U.S. with 20+ fulfillment centers and nearly 100 million packages shipped annually, creating a unique advantage for collecting real-world training data for embodied AI systems. You will own the early computer vision and egocentric perception stack, working closely with a small, highly technical team and Stord's CTO and Co-Founder. This is a hands-on builder role with true technical ownership to define architecture, build foundational systems, and shape the future of embodied AI data. Key responsibilities include: **Build the Data Product & Capture Platform**: Define and evolve Stord's Embodied AI data products across quality tiers—from RGB egocentric video to depth-enhanced and multimodal datasets with hand pose, body pose, and rich annotations. Establish data quality standards and evaluation frameworks to ensure production-level requirements. **Build the Perception Stack**: Design and develop perception systems including object detection, tracking, segmentation, depth estimation, 3D reconstruction, 6DoF pose estimation, and multi-view 3D hand and body pose estimation. Build robust solutions for complex, real-world warehouse environments. **Own Hardware + Vision Integration**: Design and deploy camera systems and perception rigs across warehouse environments. Own camera calibration, multi-camera synchronization, epipolar geometry, and 3D reconstruction workflows. **Build Automated Labeling & Data Pipelines**: Develop VLM-assisted and automated annotation workflows with human-in-the-loop quality systems. Build pipelines that transform raw video into production-ready training datasets. **Train, Optimize, and Deploy Models**: Design, fine-tune, evaluate, and optimize computer vision and multimodal models on large-scale video datasets. Establish evaluation methodologies that measure model performance, reliability, and quality. You will have direct exposure to the fastest-growing AI market, partnering with robotics companies and AI labs building intelligent systems. This is a rare opportunity to build technical foundations from the ground up with structural advantages no startup can easily replicate.

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