Computer Vision Lead (R&D)

View full description

Requirements:

• 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
• 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