Trellis is building an AI-powered workflow 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, General Catalyst, and early investors/executives in Google, Salesforce, and JP Morgan Chase.
Why work with us?
- Be at the forefront of what’s possible in AI and Data infrastructure. Build a new data platform from the ground up while collaborating with F500 enterprise clients.
- You get the chance to be an early team member at a YC/GC -backed startup spun-out from the Stanford AI lab.
- Join a world-class team (e.g., team members have previously won the international physics olympiad, published economics research, and taught graduate-level Big Data systems class at Stanford).
- You are passionate about building high quality software that have direct impact.
- Extreme ownership: You enjoy wearing different hats and own new product end-to-end.
- You work with founders who are engineers, not business majors.
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.
