Trellis -- AI/ML Engineer | Remote (both US and international) | trellis.law
We are looking for a senior/staff engineer who has experience building search systems to join our data science and machine learning team. The kinds of things we envision this hire doing:
* Leading and guiding other engineers in development of RAG/semantic search pipelines.
* Leading development of an engine that takes legal questions and parses them for intent, keywords, etc.
* Leading development of a suite of LLM-based tools and the development of ML systems to evaluate them.
About Trellis: Trellis is one of the only modern, searchable, and aggregated sources of state trial court filings around, and we are actively expanding to include Federal court dockets as well. If you have never before tried to search state court dockets, you probably aren't aware of how difficult it is to find what has been filed in public court cases. Trellis is filling the gap and modernizing the space. Our customers range from solo practitioners to some of the largest and most prestigious law firms in the country.
I am happy to answer any questions here, or via Discord DM (ss1515)
If your experience is on-point, I'd be happy to forward your CV to the hiring manager directly.
Hi saw this listed on slack search relevance channel. I'm a search engineer with 10+ years of experience on Solr and Fusion. I'm at linkedin.com/in/robipete and would love to share my CV
We are looking for a senior/staff engineer who has experience building search systems to join our data science and machine learning team. The kinds of things we envision this hire doing:
* Leading and guiding other engineers in development of RAG/semantic search pipelines.
* Leading development of an engine that takes legal questions and parses them for intent, keywords, etc.
* Leading development of a suite of LLM-based tools and the development of ML systems to evaluate them.
* And more!
Please apply here: https://jobs.lever.co/trellis/b76fa20e-8bf4-4d6e-a716-200f36... (you can mostly ignore the job description there, it needs updating/refinement)
Tech stack: Python/Django; AWS; Postgres; Elasticsearch; Redis
About Trellis: Trellis is one of the only modern, searchable, and aggregated sources of state trial court filings around, and we are actively expanding to include Federal court dockets as well. If you have never before tried to search state court dockets, you probably aren't aware of how difficult it is to find what has been filed in public court cases. Trellis is filling the gap and modernizing the space. Our customers range from solo practitioners to some of the largest and most prestigious law firms in the country.
I am happy to answer any questions here, or via Discord DM (ss1515)
If your experience is on-point, I'd be happy to forward your CV to the hiring manager directly.