Senior Computer Vision Engineer (Egocentric), Data Foundry
About this role
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.
About the roleStord 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. We are building a new business line that turns this operational infrastructure into some of the most valuable training data assets in physical AI.
We are looking for an experienced computer vision engineer and technologist to build and scale this business from the ground up.
What You Will Own
You will own the early egocentric video stack -- data collection, vision models and pipelines, and rigs. You'll partner closely with a small team to operationalize. This is a builder-operator role. You will:
Define and deliver the product. You will own the data product across quality tiers — from RGB egocentric video through depth-enhanced and full multimodal capture with hand pose and annotations. You will decide what gets built, in what order, based on what buyers will actually pay for. You will hold the line on quality.
Run the capture and delivery program. You will stand up the warehouse capture operation: camera and rig hardware selection, enrollment, edge processing, and the processing pipelines that package datasets for delivery. You will coordinate across warehouse operations, engineering, and customers to ship datasets on spec and on schedule.
Build the perception stack. 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. 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.
What You Bring
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. 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.
Company at a glance
Stord is the physical intelligence layer for independent commerce, giving brands the fulfillment network, software, AI, and robotics they need to own the entire relationship with their customer, from checkout to delivery to returns.
Prime reset what consumers expect from delivery, and every brand competing against it pays with margin, data, and the relationship with their own customer. Stord gives independent brands that same infrastructure advantage, without the trade-off. With Stord, brands grow revenue, reduce costs, and delight every customer they ship to.
Today Stord serves 1,000+ brands. Our network spans nearly 100 fulfillment locations worldwide, processes $15B+ in GMV annually, and reaches nearly one in four U.S. households.
Stord Labs, our physical intelligence lab in Atlanta, builds and tests AI and robotics on live orders before rolling proven systems out across the full network. The result is intelligence that compounds with every order that runs through it.
Backed by Kleiner Perkins, Founders Fund, Strike Capital, Franklin Templeton, and other leading investors, Stord has raised $250M in Series F equity funding at a $3B valuation.
The physical intelligence layer for independent commerce is here.
This is a place for people who want to work at the edge of commerce and applied AI on real, physical problems, not simulations. The pace is intense and the systems you ship move real freight for real brands within days. If you want to build the infrastructure that defines the next era of commerce, this is where you do it.
Join our team: https://www.stord.com/careers/.
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