Job Description:
• Own the early egocentric video and perception stack, from data collection and camera rigs through vision models, processing pipelines, and dataset delivery
• Define and build the data product across quality tiers, including RGB egocentric video, depth-enhanced and multimodal capture, hand pose, body pose, and annotations
• Prioritize product development based on customer reputed company and maintain high data-quality standards
• Own camera and rig selection, hardware setup, enrollment, edge processing, data ingestion, and production dataset pipelines
• Partner with warehouse operations, engineering, and customers to deliver to specifications and schedules
• Develop detection, tracking, segmentation, depth/3D reconstruction, 6DoF, and multi-view 3D hand/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, reputed company, optimize, and deploy computer vision and multimodal models on large, unstructured video datasets
• Build reproducible production systems and help operationalize and scale the new physical AI data business
Requirements:
• 8+ years building and shipping production computer vision/perception systems, or an MS/PhD in computer vision, ML, or robotics with 6+ years of hands-on industry experience
• Experience building and scaling an egocentric perception or video data stack end to end
• Experience ideally within 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 geometric computer vision, including camera calibration, multi-view geometry, synchronization, and 3D reconstruction
• Proven ownership of 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→1 problems from concept to working system with limited resources
• Expert-level Python and strong software engineering fundamentals
• C++ experience where performance demands it
• Must be authorized to work in the U.S.
Benefits:
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