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Atlanta, Georgia, United States
Remote only
Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. Stord is rapidly growing and is on track to double our revenue in the next 18 months. To meet and exceed this target, Stord is strategically scaling teams across the entire company, and seeking energetic experts to help us achieve our mission.
By combining comprehensive commerce-enablement technology with high-volume fulfillment services, Stord provides brands a platform to compete with retail giants. Stord manages over $10 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms. Stord is leveling the playing field for all brands to deliver the best consumer experience at scale.
With Stord, brands can increase cart conversion, improve unit economics, and drive sustained customer loyalty. Stord’s end-to-end commerce solutions combine best-in-class omnichannel fulfillment and shipping with leading technology to ensure fast shipping, reliable delivery promises, easy access to more channels, and improved margins on every order.
Hundreds of leading DTC and B2B companies like AG1, True Classic, Native, Seed Health, quip, goodr, Sundays for Dogs, and more trust Stord to deliver industry-leading consumer experiences on every order. Stord is headquartered in Atlanta with facilities across the United States, Canada, and Europe. Stord is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.
Build the Vision Systems Powering the Future of Physical AI.This is a rare opportunity to build the technical foundation of a new AI business from the ground up — combining real-world operational infrastructure with cutting-edge computer vision and robotics.
You will have:
A structural advantage no startup can easily replicate — access to one of the largest real-world environments for collecting physical AI training data.
Direct exposure to the fastest-growing AI market — partnering with robotics companies, AI labs, and teams building the future of intelligent systems.
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.
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.
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.
