Member of Technical Staff (AI for Science)

We’re looking for Members of Technical Staff to develop transformative AI Scientist agents that make meaningful contributions to in silico and in situ discoveries in specific scientific domains. Your work will leverage our state-of-the-art proprietary foundation models, adapting their capabilities to a particular scientific vertical. You will be involved in every-level of the AI for Science lifecycle: judiciously selecting research problems, creating evaluations and training data, post-training and harnessing Inherent’s models, building interfaces to infrastructure for scientific experiments (e.g., scientific software, simulators, cloud labs), driving experimental iteration on agent behaviour, and collaborating with external scientists to validate and deploy our systems.