Neuralk AI | Field Engineer | Full-time | Hybrid (Paris/London)
We are a seed stage startup building Tabular Foundation Models (TFM). This is an emerging space with huge potential.
LLM's like Claude take text as input and produce text.
Model's like nano banana take text as input and produce images.
Tabular Foundation Models take rows/columns as input, and produce predictions.
The world is sitting on huge amounts of structured data that isn't being used to its potential. Making predictions is hard. Today, most folks are building, training, maintaining their own models. A bit like you'd need to have done back in 2019 with LLM's.
We want to change that. We're looking for an early career Field Engineer to help build out demos, docs, resources, integrations as well as driving product adoption directly with customers. Someone who is passionate about building, has shipped real software (or predictions), has experience with Python and data science fundamentals.
If you're looking for something a bit different than just "hands on keyboard" engineering, and enjoy business as much as tech, this could be for you.
I run AssetRoom, which sends AI summaries of SEC filings. Found myself wanting a quicker way to discover interesting companies and hear what others think about them.
So I added a weekly poll. I pick a stock, show some key facts, and let people vote and discuss whether it’s overvalued or a hidden gem. Takes a few minutes, usually learn something.
By default free plans can run 5x concurrently on self-hosted, 20x minimum for all paying customers, and yes there's a "talk to sales" for >20x on the pricing page
Can you send a link to the page you’re looking at? Thanks!
Pricing should mostly just be users + build minutes (for cloud runners) + storage. There is a few other optional, feature specific costs. Self hosted runners are free, but you need to self host caches/workspaces - our native ones have an egress bill to self hosted runners.
I'm working on AssetRoom, a free service to email you noise-free, easy to digest summaries of SEC filings from companies you're interested in.
I often read about interesting public companies (from an investment perspective or otherwise), but fail to then keep up with them over time (sometimes reading many months/years later how successful they were - or not!). I built this to make an easy way for me to follow updates from said companies.
We are a seed stage startup building Tabular Foundation Models (TFM). This is an emerging space with huge potential.
LLM's like Claude take text as input and produce text. Model's like nano banana take text as input and produce images. Tabular Foundation Models take rows/columns as input, and produce predictions.
The world is sitting on huge amounts of structured data that isn't being used to its potential. Making predictions is hard. Today, most folks are building, training, maintaining their own models. A bit like you'd need to have done back in 2019 with LLM's.
We want to change that. We're looking for an early career Field Engineer to help build out demos, docs, resources, integrations as well as driving product adoption directly with customers. Someone who is passionate about building, has shipped real software (or predictions), has experience with Python and data science fundamentals.
If you're looking for something a bit different than just "hands on keyboard" engineering, and enjoy business as much as tech, this could be for you.
Feel free to reach out at [email protected]