
1001 - 5000 employees
Founded 2015
🍽️ Food & Beverage
💼 Consulting
📣 Marketing
Food & Beverage • Consulting • Marketing
Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.
🔥 45 minutes ago
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1001 - 5000 employees
Founded 2015
🍽️ Food & Beverage
💼 Consulting
📣 Marketing
Food & Beverage • Consulting • Marketing
Stord is a cloud supply-chain company that combines fulfillment network operations with integrated SaaS (OMS/WMS) to power omnichannel and DTC e-commerce brands. It provides warehousing, last-mile and transportation services, order routing, inventory management, and consumer-facing delivery tools to improve conversion, speed up fulfillment, and protect brand experience. Stord serves growing B2B and direct-to-consumer brands across food & beverage, beauty, apparel and other retail categories, offering a customizable fulfillment network and software platform to optimize costs and delivery performance.
• 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. • Work closely with a small, highly technical team to define the architecture, build the systems, and establish the technical standards for Stord’s Embodied AI data 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 datasets meet production-level requirements. • 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. • Own the Hardware + Vision Integration - Design and deploy camera systems and perception rigs across warehouse environments. • Develop solutions for deriving accurate spatial understanding from multimodal sensor inputs and video data. • Build VLM-assisted and automated annotation workflows with human-in-the-loop quality systems. • Train, optimize, and deploy models - Design, fine-tune, evaluate, and optimize computer vision and multimodal models on large-scale video datasets.
• 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.
• Health insurance • Flexible work arrangements • Professional development opportunities
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