Machine Learning Engineer - Document Intelligence & Applied GenAI

📋 Description

• Design, train, and optimize models to extract structured data from documents.
• Build end-to-end ML systems: datasets, training, inference, deployment.
• Drive production AI features powering PandaDoc's document workflows.
• Tackle robustness, latency, observability, and RAG quality in production.
• Experiment with frontier and open-source models and vision language systems.
• Collaborate with product, engineering, and design to translate requirements.

🎯 Requirements

• 5+ years of Python experience.
• Experience training, fine-tuning, and deploying CV models for document intelligence.
• Hands-on with document understanding frameworks (LayoutLM, Donut, DocFormer) and OCR.
• Deploying and optimizing models with vLLM, TGI, TensorRT, or ONNX Runtime.
• LLMs for document intelligence workflows (frontier and open-source).
• Spatial reasoning for form field detection and absolute positioning.

🎁 Benefits

• Honest, open culture with feedback and growth.
• Work from anywhere — distributed worldwide.
• 6 self-care days.
• And much more!