We build FLEX in Vienna — reinforcement learning, power systems and software engineering on one small team. Open positions are listed below; speculative applications are welcome at office@enlite.ai.
RL researchers, power-systems engineers and software engineers sit in one room and ship one product. You will read grid models and training curves in the same week.
FLEX is evaluated on real distribution grids with Austrian operators and in research with TenneT, RTE and ENEL — results are measured, published and questioned.
Maze, our RL framework, is open source. We publish at IEEE, ACM e-Energy and NeurIPS workshops and work inside Horizon Europe consortia such as AI4REALNET.
FLEX is evaluated on real distribution grids with Austrian operators. The models you train and the code you write are measured against their data — and the results are published, not filed away.
We hire ahead of job ads when the fit is right. Send a short note and a CV or GitHub link to office@enlite.ai.
