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.

A few examples of your responsibilities

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.

What we look for

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.

What we offer

Pay and equity. €70,000 to €120,000 gross a year (based on experience), 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.

Commitment and location

Full time, hybrid in Milan, Italy.

The selection process
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.