Senior Computer Vision Engineer (Egocentric), Data Foundry

Stord-Warehous; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Stord, based in Atlanta, seeks a senior computer vision engineer to build and scale an egocentric perception stack from data collection to production deployment in a fast-growing fulfillment-technology environment.

You will own camera pipelines, 3D pose estimation, and multimodal labeling, collaborating with warehousing operations and customers to deliver robust vision solutions used across the business.

Qualifications

• 8+ years building and shipping production computer-vision/perception systems.
• Experience scaling egocentric perception stacks, hardware setup, and data pipelines.
• Experience with real-world, unstructured video data and deployment.

Responsibilities

• Define and deliver the product: data product across quality tiers — from RGB egocentric video to depth-enhanced capture.
• Run the capture and delivery program for warehouse data, coordinating with warehousing ops and customers.
• Build the perception stack: detection, tracking, segmentation, 3D reconstruction, and 6DoF pose estimation.
• Stand up VLM-assisted labeling with human-in-the-loop QA to drive down labeling costs.
• Train and ship CV/multimodal models on large datasets and deploy them to production.

Skills

Computer vision

Deep learning

Python

C++

Pose estimation

Multi-view geometry

Edge processing

Education

MS/PhD in CV, ML, or robotics

Tools

OpenCV

PyTorch

TensorRT

ROS

Job description

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 OwnYou 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 BringExperiencing 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 estimationEnd-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 RoleThis 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 replicateDirect access to the fastest-growing buyer market in AICTO/Co-Founder as your direct partner.