Backend & ML engineer (Adge AI)

About the work We're an AI startup building document-understanding tools for the construction industry. Our models read architectural drawings and other messy real-world documents and turn them into accurate, structured data. You'd own the ML and backend systems behind that. What you'll do - Build, optimize, and deploy ML and computer vision models (object detection, extraction) into production - Make those models small and fast enough to run cheaply at scale, including on limited hardware or directly in the browser - Own the backend services and APIs that serve them reliably and at low latency Requirements - Strong Python and production backend/API experience - PyTorch plus an inference runtime (ONNX, TensorRT, WebGPU, or similar) - Proven experience optimizing AND deploying ML models, not just training them - Edge AI experience: making models run efficiently on limited hardware or on-device/in-browser instead of relying on big cloud GPUs. In practice: shrinking and speeding up models with quantization, pruning, distillation, ONNX, or WebGPU. - Computer vision shipped to production (object detection a strong plus) - Strong applied math (linear algebra, optimization, probability) - Solves hard, ambiguous problems independently Nice to Have Experience with Docker, Linux, or cloud infrastructure Background in high-performance systems What We Offer Remote position Long-term opportunity Flexible work environment Work on cutting-edge AI projects Salary depends on experience