Member of Technical Staff, Applied Research (+ Equity) at well-funded AI infrastructure startup

Job Title Member of Technical Staff, Applied Research Salary Not Disclosed + Equity Company Description Well-funded AI infrastructure startup Job Description Join a high-growth AI infrastructure startup building the intelligence layer for complex document understanding. You will develop and train vision-language models to transform unstructured enterprise data into LLM-ready context. This role bridges the gap between frontier research and production systems, allowing you to ship high-impact models used by thousands of developers globally. Location San Francisco, USA Why this role is remarkable Work at the intersection of computer vision and language modeling on a core infrastructure problem for the modern AI stack. Join a Series A startup backed by top-tier VCs with massive developer adoption and real commercial traction in the enterprise market. Enjoy significant technical ownership and the opportunity to work directly with technical founders to shape the future of document intelligence. What You Will Do Develop and train vision-language models specifically optimized for complex document processing, including tables, charts, and multi-page forms. Build robust data pipelines for synthetic data generation and create rigorous benchmarking frameworks to evaluate model performance across diverse datasets. Collaborate with engineering teams to move successful research prototypes into production-grade systems that handle millions of documents. The ideal candidate 3-7 years of experience in ML engineering or applied research with a strong foundation in training and benchmarking deep learning models. Deep technical proficiency in Python and PyTorch, with hands‑on experience in computer vision, vision-language models, or natural language processing. Proven ability to write clean, production-quality code and thrive in a fast‑paced startup environment with high levels of ownership. #J-18808-Ljbffr Jack & Jill