Founding AI Researcher

Lucebox builds a local AI workstation and the open source engine that runs models on it. The engine is Apache 2.0, and every benchmark goes on our blog with its setup. We're backed by Y Combinator.

You'd be our first researcher, on models that keep getting better after they ship.

• Research. Take open problems from idea to result, with experiments you design and run yourself.
• Training. Post-train and fine-tune open models end to end on our own hardware.
• Evaluation. Build the measurements that tell us whether a change made a model better.

• Research record. A PhD in machine learning, finished or close to it, or a record that matches one, with first-author papers at venues like NeurIPS, ICML, ICLR, ACL or EMNLP.
• Training. You've post-trained models yourself and know where the GPU hours went.
• Engineering. You're fluent in PyTorch and will read a kernel when speed is the problem.
• Conviction. You want your research running on machines people own.
• Good to have. Research code or models you've released that other people use.

• Pay and equity. €70,000 to €120,000 gross a year, plus 1% to 2% equity.
• A founding role. You set the research agenda with the founders and work with them directly.
• Research that ships. What works goes into our open source engine and onto every Lucebox.

Full time, hybrid in Milan, Italy.

We look at what you've built and published, whatever your title. Everyone goes through the same steps:

• An intro interview, 30 minutes with a founder.
• A technical interview on machine learning and your research.
• A behavioural interview on how you work.
• A technical project on a small research question.
• The final decision, within a week of the project.

If you like the role but your CV doesn't look like a perfect match, apply anyway.

A pull request to our open source engine counts in your favour, including one you sent before. It's optional. Put the link in the form and we'll read it before the first call.

github.com/Luce-Org/lucebox