Senior Deep Learning Engineer at NanoNets

Join Nanonets to push the boundaries of what's possible with deep learning. We're not just implementing models – we're setting new benchmarks in document AI, with our open-source models achieving nearly 1 million downloads on Hugging Face and recognition from global AI leaders. Backed by $40M+ in total funding including our recent $29M Series B from Accel, alongside Elevation Capital and Y Combinator, we're scaling our deep learning capabilities to serve enterprise clients including Toyota, Boston Scientific, and Bill.com . You'll work on challenging problems at the intersection of computer vision, NLP, and generative AI. Train & Fine-tune SOTA Architectures : Adapt and optimize transformer-based models, vision-language models, and custom architectures for document understanding at scale Production ML Infrastructure : Design high-performance serving systems handling millions of requests daily using frameworks like TorchServe, Triton Inference Server, and vLLM Agentic AI Systems : Build reasoning-capable OCR that goes beyond extraction – models that understand context, chain operations, and provide confidence-grounded outputs Optimization at Scale : Implement quantization, distillat