We are looking for a senior/staff ML person to join our data science and machine learning team. The kinds of things we envision this hire doing:
* Leading the development of scalable training and deployment infrastructure for several ML models.
* Leading and guiding the team in which metrics to select to evaluate LLM output, our custom RAG pipelines, etc, and taking a hands-on role in building automated pipelines to conduct such evaluation.
* Fine-tuning LLMs to handle domain-specific use-cases.
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)
> At least 7 years of backend engineering experience, at least 3-4 of which were spent building products using LLMs.
Seeing as the largest, most popular LLM only came out <2 years ago and penetrated the consciousness of the tech sector, what kind of candidate are you actually looking for?
Our CTO said he ideally wants to hire someone who has been working with LLMs since before they blew up 2 years ago; i.e. someone who has been working in the space since around GPT-2.
I honestly don't know, I am just a mid-level who wanted to post the job application here to make sure it is seen by the Hacker News crowd. If it were up to me, a salary range would be included in the job posting.
We are looking for a senior/staff ML person to join our data science and machine learning team. The kinds of things we envision this hire doing:
* Leading the development of scalable training and deployment infrastructure for several ML models.
* Leading and guiding the team in which metrics to select to evaluate LLM output, our custom RAG pipelines, etc, and taking a hands-on role in building automated pipelines to conduct such evaluation.
* Fine-tuning LLMs to handle domain-specific use-cases.
Please apply here: https://jobs.lever.co/trellis/b76fa20e-8bf4-4d6e-a716-200f36...
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)