Remote Position

[Remote] Senior Computer Vision Engineer (Egocentric), Data Foundry

🌍 Remote · United States 💼 Full-time

Note: The job is a remote job and is open to candidates in USA. reputed company is The reputed company Experience Company, powering seamless checkout through delivery for today's leading brands. They are seeking an experienced Computer Vision Engineer to build the technical foundation of a new AI business, focusing on perception systems that transform real-world environments into high-quality AI training data.

Responsibilities

  • Define and evolve reputed company's Embodied AI data products across quality tiers - from RGB egocentric video to depth-enhanced and multimodal datasets with hand pose, body pose, and rich annotations
  • Determine the right technical investments based on customer requirements and the needs of emerging robotics and AI models
  • Establish data quality standards and evaluation frameworks to ensure datasets meet production-level requirements
  • Design and develop perception systems including: Object detection, tracking, and segmentation, Depth estimation and 3D reconstruction, 6DoF pose estimation, Multi-view 3D hand and body pose estimation, Egocentric and fixed-camera perception systems
  • Build robust solutions designed for complex, real-world environments - not just benchmark datasets
  • Design and deploy camera systems and perception rigs across warehouse environments
  • Own camera calibration, multi-camera synchronization, epipolar geometry, and 3D reconstruction workflows
  • Develop solutions for deriving accurate spatial understanding from multimodal sensor inputs and video data
  • Develop VLM-assisted and automated annotation workflows with human-in-the-loop quality systems
  • Integrate labeling tools and processes that improve scalability while maintaining dataset accuracy
  • Build pipelines that transform raw video into production-ready training datasets
  • Design, fine-tune, evaluate, and optimize computer vision and multimodal models on large-scale video datasets
  • Build reproducible training and deployment workflows that move beyond experimentation and into production
  • Establish evaluation methodologies that measure model performance, reliability, and quality

Skills

  • 8+ years of experience building and shipping production computer vision or perception systems (or an MS/PhD in Computer Vision, Machine Learning, Robotics, or a related field with 6+ years of hands-on industry experience)
  • Experience building perception systems that operate on real-world, imperfect data - beyond academic benchmarks
  • Demonstrated experience developing or scaling egocentric vision, robotics perception, autonomous systems, or AI data platforms
  • Deep expertise in computer vision fundamentals and modern tooling, including: CNNs and vision transformers, Object detection, segmentation, and tracking, Depth estimation and 3D vision, 2D/3D pose estimation, Camera calibration and geometric computer vision
  • Experience owning complex perception problems end-to-end - from data collection and model development through evaluation, optimization, and deployment
  • Strong understanding of large-scale video and multimodal datasets, including data quality measurement and evaluation methodologies
  • Experience taking ambiguous, 0 1 technical challenges and turning them into scalable systems with limited resources
  • Ability to influence technical direction, establish engineering standards, and mentor other engineers
  • Expert-level Python skills and strong software engineering fundamentals; C++ experience where performance requirements demand it

Company Overview

  • reputed company offers a marketplace that enables direct connections between recruiters and technologists. It was founded in 1990, and is headquartered in Centennial, Colorado, USA, with a workforce of 201-500 employees. Its website is https://www.uk.reputed company.com.

Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 2 in 2022, 4 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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