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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Engineer (Egocentric), Data Foundry - **Company:** STORD, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Object Detection, Delivery Pipeline, Data Management, Machine Learning Operations, Data Pipelines - **Published:** July 25, 2026 - **Apply:** https://stord.wd503.myworkdayjobs.com/Stord_External_Career/job/Remote-United-States/Senior-Computer-Vision-Engineer--Egocentric---Data-Foundry_JR102793 ## About the Role * 8+ years of experience building and shipping production computer vision or perception systems (or an MS/PhD in Computer Vision, Machine Learning, Robotics, or a related field with 6+ years of hands-on industry experience). * Experience building perception systems that operate on real-world, imperfect data - beyond academic benchmarks. * Demonstrated experience developing or scaling egocentric vision, robotics perception, autonomous systems, or AI data platforms. * Deep expertise in computer vision fundamentals and modern tooling, including: + CNNs and vision transformers + Object detection, segmentation, and tracking + Depth estimation and 3D vision + 2D/3D pose estimation + Camera calibration and geometric computer vision * Experience owning complex perception problems end-to-end - from data collection and model development through evaluation, optimization, and deployment. * Strong understanding of large-scale video and multimodal datasets, including data quality measurement and evaluation methodologies. * Experience taking ambiguous, 0*1 technical challenges and turning them into scalable systems with limited resources. * Ability to influence technical direction, establish engineering standards, and mentor other engineers. * Expert-level Python skills and strong software engineering fundamentals; C++ experience where performance requirements demand it. ## Description * True technical ownership - the opportunity to define architecture, build foundational systems, and shape the future of Embodied AI data. * Executive partnership - working closely with Stord's CTO and Co-Founder to define strategy, accelerate execution, and remove barriers. What You Will Own: You will own the early computer vision and egocentric perception stack - including data capture systems, vision pipelines, model development, and the infrastructure required to deliver high-quality datasets at scale. Working closely with a small, highly technical team, you will help define the architecture, build the systems, and establish the technical standards for Stord's Embodied AI data platform. 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. * Determine the right technical investments based on customer requirements and the needs of emerging robotics and AI models. * Establish data quality standards and evaluation frameworks to ensure datasets meet production-level requirements. Build the Perception Stack * Design and develop perception systems including: + Object detection, tracking, and segmentation + Depth estimation and 3D reconstruction + 6DoF pose estimation + Multi-view 3D hand and body pose estimation + Egocentric and fixed-camera perception systems * Build robust solutions designed for complex, real-world environments - not just benchmark datasets. Own the 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. * Develop solutions for deriving accurate spatial understanding from multimodal sensor inputs and video data. Build Automated Labeling & Data Pipelines * Develop VLM-assisted and automated annotation workflows with human-in-the-loop quality systems. * Integrate labeling tools and processes that improve scalability while maintaining dataset accuracy. * 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. * Build reproducible training and deployment workflows that move beyond experimentation and into production. * Establish evaluation methodologies that measure model performance, reliability, and quality. ## Related Videos - [Focoos AI: Building the Future of Computer Vision](https://www.wearedevelopers.com/videos/1659-focoos-ai-building-the-future-of-computer-vision) - [Robots are coming into the wild! 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