Machine Learning Engineer

OverviewPulse 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 modelsLow-latency OCR models for targeted extractionAdvanced reading-order algorithms for complex structuresProprietary table structure recognition and parsingFine-tuned vision-language models for charts, tables, and figuresIf you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence.What we are looking for5 days in-office at our San Francisco officeEager to learn and adapt quicklyPrior startup or founding experience is a plusAbout the RoleCreate 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.ResponsibilitiesTrain and fine tune OCR, layout, table, and vision-language modelsBuild evaluation, data curation, and active learning pipelinesOptimize inference, batching, and quantization on GPUProductionize models with clear SLAs and rollback plansWrite internal notes that inform model and product roadmapsRequirements3+ years in applied ML or research, or strong open source recordPyTorch or JAX, and modern vision or multimodal architecturesSolid engineering discipline and metrics focusNice to haveTriton Inference Server, TensorRT, ONNX, distributed trainingSponsorshipSponsorship available.Compensation and benefitsCompetitive base salary plus equity, performance-based bonus, relocation assistance for Bay Area moves, daily meal stipend, medical, vision, and dental coverage.