
501 - 1000 employees
Founded 2019
💼 Consulting
🍽️ Food & Beverage
🏥 Healthcare
Consulting • Food & Beverage • Healthcare
Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.
🕒 August 12
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
👁️ Computer Vision Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 24%
Where this job comes from
Posted on Stord's careers page, not through a job board
First seen by Remote Rocketship August 12
Still open on Stord's site. Checked 53 minutes ago.

501 - 1000 employees
Founded 2019
💼 Consulting
🍽️ Food & Beverage
🏥 Healthcare
Consulting • Food & Beverage • Healthcare
Stord is a company that provides cloud supply chain solutions for direct-to-consumer (DTC) and omnichannel brands, specializing in fulfillment, last-mile delivery, and inventory management. By integrating best-in-class software with physical logistics operations, Stord aims to enhance the consumer experience from pre-purchase to post-delivery. The company supports over $5 billion in commerce annually and offers services such as order management, shipment protection, and inventory planning to streamline supply chains and improve brand loyalty. Stord also serves a wide range of industries, including health & beauty, nutrition & supplements, and apparel & accessories.
• Own the early egocentric video and perception stack, from data collection and camera rigs through vision models, processing pipelines, and dataset delivery • Define and build the data product across quality tiers, including RGB egocentric video, depth-enhanced and multimodal capture, hand pose, body pose, and annotations • Prioritize product development based on customer demand and maintain high data-quality standards • Own camera and rig selection, hardware setup, enrollment, edge processing, data ingestion, and production dataset pipelines • Partner with warehouse operations, engineering, and customers to deliver to specifications and schedules • Develop detection, tracking, segmentation, depth/3D reconstruction, 6DoF, and multi-view 3D hand/body pose estimation systems • Build VLM-assisted and automated labeling workflows with human-in-the-loop quality assurance • Drive camera calibration, epipolar and multi-view geometry, frame-accurate synchronization, and 3D pose triangulation • Design, fine-tune, optimize, and deploy computer vision and multimodal models on large, unstructured video datasets • Build reproducible production systems and help operationalize and scale the new physical AI data business
• 8+ years building and shipping production computer vision/perception systems, or an MS/PhD in computer vision, ML, or robotics with 6+ years of hands-on industry experience • Experience building and scaling an egocentric perception or video data stack end to end • Experience ideally within robotics, physical AI, or an AI data company • Deep expertise in detection, tracking, segmentation, depth, 2D/3D pose estimation, and vision transformers • Strong command of geometric computer vision, including camera calibration, multi-view geometry, synchronization, and 3D reconstruction • Proven ownership of perception problems from data and model design through evaluation, optimization, and deployment • Experience with large, unstructured video and multimodal datasets and disciplined evaluation and quality measurement • Track record of setting technical direction and raising the bar for other engineers • Ability to take ambiguous 0→1 problems from concept to working system with limited resources • Expert-level Python and strong software engineering fundamentals • C++ experience where performance demands it • Must be authorized to work in the U.S.
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