Build realistic environments for AI agents and the infrastructure for RL training and benchmarking.
You will build the environments and benchmarking systems at the core of our products. The role combines strong software engineering with practical work on AI agents: designing realistic environments, investigating agent behavior, and making evaluations reliable and useful. You will work across these problems with the rest of the team, with a particular focus on software architecture, infrastructure, and implementation.
Veröffentlichungsdatum:
06 Okt 2026Standort:
TübingenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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