Teams at Pi School

Build go-to-market strategies and hands-on assets that convert AI research outputs into practical use cases, demos, applications, and commercial opportunities. The role runs growth experiments, develops landing pages and interactive demos, identifies high-impact applications, translates technical capabilities into value propositions, and partners with technical, sales, and marketing teams to drive adoption, engagement, partnerships, and qualified leads.

Build EVE, an open-source Earth Observation AI platform for ESA. Integrate satellite data catalogues, Copernicus services, processing platforms, APIs, imagery, and geospatial tools. Develop agentic pipelines that route queries, orchestrate tasks, call backend services, and generate coherent responses. Design specialized EO sub-agents, support ESA platform integrations, and create tutorials, notebooks, and documentation. The role requires Python, geospatial data engineering, REST APIs, Docker, Linux, and cloud or HPC experience.

Conduct deep learning research for the DVPS multimodal foundation-model project. Design neural architectures, implement and run experiments on large GPU and HPC systems, evaluate results, monitor research developments, and contribute to open-source models and datasets. Guide junior researchers, coordinate with project partners, define research roadmaps, document findings, and organize publications. The role focuses on language, vision, audio, Earth observation, and clinical or multimodal AI applications.