Member of Technical Staff, Applied Research

LlamaIndex is an AI infrastructure company focused on making complex documents understandable and actionable for AI systems. The Member of Technical Staff, Applied Research will develop and evaluate vision-language and document AI models, build data and benchmarking pipelines, and improve accuracy, latency, and cost-effectiveness. The role also involves collaborating with engineering, product, and customers to move research prototypes into production systems.

Responsibilities:

• Develop and train vision-language models for document processing and document understanding
• Build data pipelines for data curation, synthetic data generation, labeling, and benchmark creation
• Evaluate base models and perform post-training or fine-tuning to hit specific performance targets
• Improve model accuracy, latency, and cost-effectiveness across real-world document workflows
• Design and maintain benchmarks to measure extraction quality, layout understanding, OCR performance, reasoning accuracy, and end-to-end system reliability
• Work with messy real-world documents, including PDFs, scanned documents, tables, charts, forms, and multi-page enterprise documents
• Collaborate with engineering to move successful research prototypes into production
• Work directly with customers when needed to translate product requirements into benchmarks, experiments, and model improvements
• Stay close to the latest research in vision-language models, document AI, post-training, synthetic data, and agentic systems
• Use modern AI coding workflows and tools to move quickly