Machine Learning Engineer
Pulse, San Francisco
The role
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.
Create the specialized vision and language models that power Pulse. You will have autonomy to train and fine-tune models and to ship improvements to production.
What you will do
- Train and fine tune OCR, layout, table, and vision-language models
- Build evaluation, data curation, and active learning pipelines
- Optimize inference, batching, and quantization on GPU
- Productionize models with clear SLAs and rollback plans