Head of Research & Development

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Panoptyc

πŸ’΅ $300k-$400k
πŸ“Remote - United States

Summary

Join Panoptyc, a rapidly growing, fully remote company revolutionizing loss prevention with visual AI, as their Head of R&D. Lead a small team of engineers in building next-gen AI and computer vision products, from initial concept to market launch. You will prototype quickly, validate in the field, and guide the evolution of ambitious products used by thousands of stores. This role requires significant experience in AI, ML, and computer vision, along with a proven track record of building successful products. The ideal candidate will possess strong hands-on skills and the ability to lead and scale small engineering teams. This is a high-impact role with the potential to lead products that become multi-million dollar businesses.

Requirements

  • 8+ years in engineering roles with deep experience in AI, ML, and computer vision
  • Proven track record of building 0 β†’ 1 products or technical breakthroughs that went to market
  • Strong hands-on skills with ML frameworks (e.g., PyTorch, TensorFlow), video analytics (e.g., OpenCV), and deployment tooling (e.g., ONNX, Triton, containers)
  • Comfortable leading and scaling small engineering teams
  • Hacker energy: fast, creative, scrappy, and resourceful
  • Experience creating data pipelines for and categorizing vast sets of video training data

Responsibilities

  • Lead and manage a small team of engineers to prototype and productize computer vision and AI systems
  • Personally build and own early-stage proofs-of-concept, rapidly iterating and validating in the real world
  • Define and prioritize the technical R&D roadmap in collaboration with product and business leads
  • Architect scalable systems that transition from lab to production (edge and/or cloud)
  • Vet new models, data architectures, and hardware deployments
  • Be a key thought partner in setting technical direction for entirely new product lines

Preferred Qualifications

Experience with edge computing, streaming pipelines, or hardware deployment in retail, robotics, or surveillance settings

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