Staff Machine Learning Engineer
Core
Architect and build next-generation ML systems for intelligent financial automation, focusing on LLM-based extraction, fine-tuned open-weight models, and data foundations to process millions of financial documents.
Role type
Staff Machine Learning Engineer (Senior IC with organization-wide influence)
Builds
Production ML systems for document understanding, field extraction, and model-serving infrastructure within a fintech platform
Domain
Fintech, Document AI, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
LLM fine-tuning (SFT, LoRA/QLoRA, DPO/RLHF), distributed training, experiment tracking, vector stores, recommendation systems, personalization, search/ranking, statistical reasoning, A/B testing, data flywheel design
Preferred skills
Document AI/IDP (OCR, LayoutLM, Donut), privacy-constrained ML, multi-model routing architectures, open-source contributions
Technologies
PyTorch, LoRA, QLoRA, DPO, RLHF, LayoutLM, Donut
Responsibilities
Own technical direction for high-impact ML initiatives from research to production; prototype, fine-tune, and ship models; lead LLM strategy and build-vs-buy decisions; design data flywheels and labeling pipelines; set engineering standards for evaluation and deployment; mentor senior and mid-level engineers
Seniority
Staff, hands-on IC with organization-wide influence