5+ years of experience in software engineering, simulation systems, data science, or ML infrastructure., Strong command of Python and systems-level programming., Experience designing scalable task pipelines, browser or API simulations (e.g. Playwright, Selenium), or distributed compute frameworks., Understanding of RL concepts - reward modeling, environment dynamics, verifiability, evaluation, and agent interaction loops., Familiarity with instrumentation, metrics, and data pipelines for RL evaluation., Curiosity and conviction around building environments that steer AGI., A focus on AI/ML solutions., A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

company sports team, Gift vouchers for kids (birthdays, Christmas, Child's Day), sharing the costs of sports activities, private medical care, sharing the costs of professional training & courses, remote work opportunities, flexible working time, integration events, corporate sports team, no dress code, video games at work, coffee / tea, drinks, parking space for employees, leisure zone, extra social benefits, baby layette, school layette, employee referral program, charity initiatives