Junior Deep Learning Scientist (On-site)

Translated is seeking a Junior Deep Learning Scientist to contribute to the design and implementation of Multimodal Foundation Models as part of the DVPS project, a collaborative research initiative with a team of researchers dedicated to developing the science of multimodal foundation models and applying them to problems in Earth observation, language, and cardiology.

Requirements

• Master's degree in AI, Computer Science, Deep Learning
• demonstrated research and work interests in foundation models
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English

Benefits

• personalized learning paths and networking events with industry leaders
• health-oriented initiatives like massages, sauna, and workouts in our gym and swimming pool
• relaxation rooms, open meeting rooms, a cafeteria, and fully equipped kitchens
• psychological, legal, and financial support