Senior Applied AI Scientist - Document Understanding

We are looking for someone obsessed with turning messy real-world documents into perfectly structured, actionable data.

If you live and breathe document layout analysis, OCR post-processing, and visual + language models, this role is custom-built for you.

Core Responsibilities

• Design and build production-grade Document Intelligence pipelines (invoices, contracts, forms, reports, handwritten, tables, multi-language, etc.)
• Train / fine-tune and deploy Layout-aware models (LayoutLMv3, Donut, LLaMA-Adapter, Nougat, etc.)
• Build and optimize Vision-Language models (VLLMs) on custom enterprise document datasets
• Improve OCR accuracy using layout context, post-correction with LLMs, and geometric reasoning
• Own the full stack : data preparation → model training (PyTorch) → evaluation → ONNX / TensorRT optimization → FastAPI deployment
• Push boundaries on table extraction, key-value pairing, nested hierarchies, and multi-page document understanding

Must-Have Skills & Experience

Nice-to-Have (Big Bonus)

Who thrives here?

You get excited when you see a 50-page scanned purchase order with overlapping stamps and handwritten notes — because you already know exactly how you’re going to destroy it.

Perks