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About the Role:

  • You'll join a team of hardware, full-stack, and CV engineers developing next-generation computer vision capabilities for retail applications.
  • You'll move from training custom YOLO architectures to deploying optimized models on edge devices.

What You'll Do:

  • Model Development: Design, train, and iterate on custom object detection models for retail environments.
  • VLM & VLA Integration: Fine-tune and deploy open-source vision-language models for product understanding and scene reasoning.
  • Edge Optimization: Optimize models for edge deployment through quantization, pruning, and architectural optimization.

Required Experience:

  • 4+ years of hands-on computer vision engineering with a track record of shipping models to production.
  • Deep expertise with YOLO and YOLO-E architectures.
  • Hands-on experience with open-source VLMs and edge deployment frameworks.

Panoptyc

Panoptyc is building the future of retail intelligence through computer vision and AI. The company has a focused, collaborative team of engineers working on cutting-edge retail applications.

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