About Galtea
Galtea is building the evaluation platform for AI teams. We help companies ship better AI, faster, by making it easy to test, evaluate, and monitor AI agents and LLM-powered products at scale. We're backed by top-tier investors and working with some of the most sophisticated AI teams in Europe, including major financial institutions and tech companies.
We're a small, high-conviction team. Every hire matters.
The role
An AI system can only improve as fast as it can tell whether it got better. Capability is cheap now. Judgement is not. The limit on every self-improving system is the quality of the signal that grades it, and that signal is still the weakest part of the stack.
Galtea is seeking an Applied Research Scientist to work on that limit. You will bring frontier research into what we ship, publish the results that stand on their own, and design the direction of our core technology alongside the founders. This is the first fully dedicated research seat in the company, and it sits at the centre of the product rather than beside it.
What you'll do - Three things,



in roughly equal measure.
— Bring the frontier into the product. Read the field, judge what is real, and turn what is real into capability our customers can use. You design the experiments that say whether a new method beats what we run today, train and distil models where training is the right answer, and take the result to production. Research that stays in a notebook doesn't count. Neither does shipping something we can't measure.
— Do original research and publish it. Some of the hardest questions in this field have no answer yet, and we hit them in customer work every week. You pick the ones worth solving, solve them properly, and write them up. Papers, technical reports and open-source releases are part of the job, not a side project you have to negotiate for.
— Shape where the technology goes. You work with the founders on what Galtea should be able to do in two years that nobody can do

📌 Applied Research Scientist (España)
🏢 Galtea
📍 España