Machine Learning Engineer at Pulse

Overview Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special is our multi-stage architecture: Layout understanding with specialized component detection models Layout understanding with specialized component detection models Low-latency OCR models for targeted extraction Low-latency OCR models for targeted extraction Advanced reading-order algorithms for complex structures Advanced reading-order algorithms for complex structures Proprietary table structure recognition and parsing Proprietary table structure recognition and parsing Fine-tuned vision-language models for charts, tables, and figures Fine-tuned vision-language models for charts, tables,