2 months ago
Remote, United States or Atlanta, GA, USASenior
Responsibilities
- Own the egocentric video and perception stack from data collection and camera rigs through vision models, processing pipelines, and dataset delivery.
- Define and build data products spanning RGB video, depth-enhanced capture, multimodal capture, hand and body pose, and annotations.
- Select, configure, enroll, and operate camera and rig hardware while managing edge processing, data ingestion, and production dataset pipelines.
- Develop detection, tracking, segmentation, depth and 3D reconstruction, 6DoF, and multi-view 3D hand and body pose estimation systems.
- Build VLM-assisted and automated labeling workflows with human-in-the-loop quality assurance.
- Drive camera calibration, epipolar and multi-view geometry, frame-accurate synchronization, and 3D pose triangulation.
- Design, fine-tune, optimize, and deploy computer vision and multimodal models on large unstructured video datasets.
- Set technical direction and operationalize reliable production systems for a new physical AI data business.
Requirements
- 8+ years building and shipping production computer vision or perception systems, or an MS/PhD in computer vision, machine learning, or robotics with 6+ years of hands-on industry experience.
- Experience building and scaling an egocentric perception or video data stack end to end, ideally in robotics, physical AI, or an AI data company.
- Deep expertise in detection, tracking, segmentation, depth, 2D/3D pose estimation, and vision transformers.
- Strong command of camera calibration, multi-view geometry, synchronization, and 3D reconstruction.
- Experience owning perception problems from data and model design through evaluation, optimization, and deployment.
- Experience with large unstructured video and multimodal datasets and disciplined evaluation and quality measurement.
- Track record of setting technical direction and raising the bar for other engineers.
- Ability to take ambiguous 0-to-1 problems from concept to working systems with limited resources.
- Expert-level Python and strong software engineering fundamentals; C++ experience where performance requires it.
- Comfort working across hardware, data, models, infrastructure, and operations.
Benefits
- 0-to-1 ownership of the product, technology, team, and operating model for a new physical AI data business.
- Direct access to large-scale real-world warehouse environments, workflows, and human activity for training data.
- Direct partnership with the CTO and co-founder on the technical and commercial direction of the business.
Categories
ML EngineeringRobotics
About Stord
Stord provides a commerce enablement platform that combines third-party warehousing and transportation with OMS, WMS, and post‑purchase software for brands selling online and omnichannel. Its business model blends 3PL fulfillment and freight services with SaaS subscriptions. Founded in 2015 and headquartered in Atlanta, it operates a fulfillment network across the U.S., Canada, and Europe, and serves brands such as AG1, Native, and quip.