Computer Vision / Deep Learning Expert

Your Mission:

Lead the development of cutting-edge CV algorithms that power our smart cart technology—deployed globally in major grocery chains to enable checkout-free shopping.

Core Responsibilities:

• ✔ Own E2E algorithm development from research to production:
  • Design models for fine-grained product recognition (100K+ SKUs)
  • Solve retail-specific CV challenges: occlusion handling, real-time tracking, multi-view geometry
  • Optimize for edge deployment on constrained hardware
• ✔ Push SOTA boundaries in:
  • Few-shot learning for new product onboarding
  • Domain adaptation across global retail environments
  • Multi-modal fusion (RGB + depth/IR)
• ✔ Lead technical execution:
  • Define data strategies for millions of retail images
  • Collaborate with DataOps on scalable training pipelines
  • Mentor junior researchers

Tech Stack You’ll Master:

• ▸ Python + PyTorch/TensorFlow
• ▸ OpenCV, ONNX, TensorRT
• ▸ C++ (performance-critical components)
• ▸ AWS/GCP for large-scale training

Ideal Candidate Profile:

• 5+ years hands-on CV/DL experience in production environments
• Proven track record of deploying models solving:
  • Fine-grained classification
  • Real-time object tracking
  • Computational geometry
• Retail/edge AI experience (strong plus)
• Leadership DNA – can drive complex projects E2E

Why Shopic?

• 🚀 Global impact – Your code runs in stores worldwide
• 🧠 AI-first culture – Work alongside top-tier CV experts
• 📈 Growth path – Lead future R&D directions
• 💻 Tech freedom – Adapt SOTA papers to real-world retail

Compensation & Perks:

• Competitive salary + equity
• Flexible hybrid work (TLV office 3 days/week)
• Learning budget (conferences/courses)
• Premium health insurance