27 set - Bolzano
Translated
OverviewContinui a leggere per comprendere appieno cosa richiede questo lavoro in termini di competenze ed esperienza. Se il suo profilo è in linea, invii la sua candidatura.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 / Benefitspersonalized learning pathsmassages, sauna, gym, swimming poolpsychological, legal, and financial supportopen and collaborative learning environmentaccess to cutting-edge AI researchResponsabilitàDesign and implement deep learning multimodal architecturesRun large-scale experiments on GPU HPC infrastructureDesign experiments, code implementations,
and evaluationsMonitor and benchmark state-of-the-art modelsProvide guidance to junior researchers (PhD students and interns)Coordinate with partners on research roadmapOrganize publications and open-sourcing effortsAdapt project pace to rapid scientific developmentsRequisiti fondamentaliPhD or 4 years of industry research experience in deep learning/ml (applied domains welcome)Experience guiding junior researchers and defining research projectsExcellent PyTorch programming xysqume skillsFamiliarity with Docker and Unix OS for GPU experimentsStrong interest in experimental researchProven scientific publications, teaching, and research experienceExcellent English proficiencyMentoring and leadership of junior researchersStrong communication and collaboration with cross-functional teamsExperience coordinating research activities with external partnersPyTorchDockerUnix/Linux
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