Overview As part of Translated's AI Research team, you will contribute to the DVPS project advancing multimodal foundation models for Earth observation, language, and cardiology. You will design, implement, and evaluate deep learning architectures on large-scale GPU HPC, collaborate with product and engineering, and guide junior researchers. Your work will emphasize open science and open-source releases, shaping the next generation of translation-enabled AI products.

Retribuzione / Benefits access to cutting-edge AI research Design and implement deep learning multimodal architectures Design experiments, code implementations, and evaluations Monitor and benchmark state-of-the-art models Provide guidance to junior researchers (PhD students and interns)



Coordinate with partners on research roadmap Organize publications and open-sourcing efforts Adapt project pace to rapid scientific developments PhD or 4 years of industry research experience in deep learning/ml (applied domains welcome) Experience guiding junior researchers and defining research projects Excellent PyTorch programming skills Familiarity with Docker and Unix OS for GPU experiments Strong interest in experimental research Proven scientific publications, teaching, and research experience Excellent English proficiency Strong communication and collaboration with cross-functional teams Experience coordinating research activities with external partners PyTorch Docker Unix/Linux

📌 Senior Deep Learning Scientist (On-site) (Ascoli Piceno)
🏢 Translated
📍 Ascoli Piceno