Senior Computer Vision Engineer (Egocentric), Data Foundry

About the Company

Stord is The Consumer Experience Company, powering seamless checkout through delivery for today's leading brands. 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.

Stord operates the largest independent e-commerce fulfillment network in the US — 20+ fulfillment centers, 4,000+ warehouse associates, and nearly 100 million packages shipped annually. The company is building a new business line that turns this operational infrastructure into some of the most valuable training data assets in physical AI.

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, and is backed by top-tier investors including Kleiner Perkins, Franklin Templeton, Founders Fund, Strike Capital, Baillie Gifford, and Salesforce Ventures.

About the Role

We are looking for an experienced computer vision engineer and technologist to build and scale a new business line from the ground up. This is a builder-operator role where you will own the early egocentric video stack, partnering closely with a small team to operationalize data collection, vision models, pipelines, and rigs.

Responsibilities

• Define and deliver the product. Own the data product across quality tiers — from RGB egocentric video through depth-enhanced and full multimodal capture with hand pose and annotations. Decide what gets built, in what order, based on what buyers will actually pay for, and hold the line on quality.
• Run the capture and delivery program. Stand up the warehouse capture operation: camera and rig hardware selection, enrollment, edge processing, and the processing pipelines that package datasets for delivery. Coordinate across warehouse operations, engineering, and customers to ship datasets on spec and on schedule.
• Build the perception stack. Develop detection, tracking, and segmentation, plus depth/3D reconstruction and 6DoF, multi-view 3D hand/body pose estimation from egocentric and fixed-camera capture.
• Stand up VLM-assisted and automated labeling with human-in-the-loop QA to drive down cost per annotated hour, and integrate the annotation tooling.
• Own the hardware-vision intersection. Handle camera calibration, epipolar/multi-view geometry, and frame-accurate time-sync across multi-camera and egocentric rigs; derive 3D pose by triangulation where no direct sensor exists.
• Train and ship models. Design, fine-tune, and optimize CV/multimodal models on large unstructured video datasets, and get them reproducible and production-ready, not stuck in a notebook.

Requirements

• Experiencing standing up and scaling an egocentric perception stack. You have built and run a similar product end-to-end at a robotics or AI data company. You have driven the full lifecycle: hardware setup, embedded perception, data pipelines, ensuring quality, and delivering it to production teams who depend on it.
• 8+ years building and shipping production computer-vision/perception systems (or an MS/PhD in CV, ML, or robotics plus 6+ years hands-on), including systems that ran on messy real-world data, not just benchmarks.
• Deep expertise in computer vision and tooling — track record of leveraging existing tooling and designing, training, and debugging CNNs and vision transformers from scratch.
• Strong command of geometric computer vision: camera calibration, depth estimation, and 2D/3D pose estimation.
• End-to-end ownership of a major perception problem: from data and model design through evaluation, optimization, and deployment, with measurable accuracy and reliability outcomes.
• Track record of setting technical direction for a team or large workstream and raising the bar for other engineers.
• Proven ability to take ambiguous, 0→1 problems with no established playbook and drive them to a working system with limited resources.
• Experience with large unstructured datasets (video/multimodal) and the eval discipline to instrument accuracy rather than eyeball it.
• Expert Python and strong software-engineering fundamentals; C++ where performance demands it.

Why This Role

This is a rare opportunity to build a high-growth business from the ground up with infrastructure and resources to support it. You will have:

• A structural moat that no startup can replicate.
• Direct access to the fastest-growing buyer market in AI.
• CTO/Co-Founder as your direct partner.