Member of Technical Staff

##Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork. We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care. Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR. With Trellis, leading healthcare providers and pharmaceutical companies were able to: Reduce time to treatment by over 90% Improve prior authorization approval and reimbursement rates Leverage structured data to enhance drug program performance and clinical decision-making Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on. Trellis is building a Snowflake for unstructured data, turning unstructured data (e.g., financial documents, insurance policies, chat logs, etc.) into SQL-compliant tables. We're currently backed by YC and early investors/executives in Google and Salesforce. Why work with us? Be at the forefront of what's possible in AI and Data infrastructure. Build a new database from the ground up. You get the chance to be an early team member at a YC-backed startup spun-out from the Stanford AI lab. You get to join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught AI classes to hundreds of Stanford graduate students). You work with founders who are engineers, not business majors. Extreme ownership: you will own products and products will live and die by the decisions you make and the work you do. Requirements Experience architecting, developing, and testing full-stack code end-to-end Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transformers. Being proactive and a fast-learner with bias for action. Open source contributions and projects are a big plus. Experience working with relational and non-relational databases, especially Postgres Experience with data and ML infra Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.