[Hiring] Computer Vision Lead @Panoptyc

Role Description

We're looking for a technical trailblazer—a hacker, builder, and visionary leader who can turn bold ideas into working systems. As our Computer Vision Lead (R&D), you'll lead the charge on building next-gen AI and computer vision products from 0 to 1, managing a lean team of engineers while still getting your hands dirty on high-impact technical work.

• 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

Qualifications

• 8+ years in engineering roles with deep experience in AI, ML, and computer vision
• Proven track record of building 0 → 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
• Bonus: Experience with edge computing, streaming pipelines, or hardware deployment in retail, robotics, or surveillance settings

Benefits

• Lead and shape R&D at a company already deployed in 20,000+ stores and catching hundreds of thousands of thefts a year
• Work with Fortune 500 retailers solving real-world loss prevention with cutting-edge AI
• Huge ownership: lead products with the potential to become $500M+ businesses
• Fast-moving, well-resourced team with real traction
• Fully remote role (globally)
• Up to $80 USD/hr