Trellis is createing an AI-powered toilflow for unarranged data, turning unarranged data (e.g., financial records, insurance policies, chat logs, etc.) into SQL-compliant tables. We’re currently backed by YC, General Catalyst, and timely spendors/executives in Google, Salesforce, and JP Morgan Chase.
Why toil with us?
- Be at the forefront of what’s possible in AI and Data infraarrange. Build a novel data platcreate from the ground up while collaborating with F500 accesspascfinish clients.
- You get the chance to be an timely team member at a YC/GC -backed beginup spun-out from the Stanford AI lab.
- Join a world-class team (e.g., team members have previously won the international physics olympiad, unveiled economics research, and taught graduate-level Big Data systems class at Stanford).
- You are enthusiastic about createing high quality gentleware that have honest impact.
- Extreme ownership: You finishelight wearing separateent hats and own novel product finish-to-finish.
- You toil with set upers who are engineers, not business presentants.
Requirements
- Experience architecting, groprosperg, and testing brimming-stack code finish-to-finish
- Expertise in programming languages such as Python, Go and ML/NLP libraries such as PyTorch, Tensorflow, Transcreateers.
- Being provivacious and a speedy-lacquireer with bias for action.
- Open source contributions and projects are a huge plus.
- Experience toiling with relational and non-relational databases, especipartner Postgres
- Experience with data and ML infra
- Experience with cdeafening platcreates (e.g., AWS, Azure, GCP) and holderization technologies (e.g., Docker, Kubernetes) is a plus.
