обновлено 5 дней назад
Senior Deep Learning Scientist (AI)
48 000 - 68 000€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Deep Learning Scientist (AI/ML): Designing and implementing Multimodal Foundation Models for Earth observation, language, and cardiology with an accent on deep learning neural architectures and HPC compute. Focus on running large-scale GPU experiments, benchmarking state-of-the-art models, and contributing to open-source research.
Location: On-site in Rome, Italy
Salary: €48,000–€68,000 per year, with higher packages possible for exceptionally strong candidates.
Company
is a science-driven translation technology company developing AI systems that help people understand and communicate across languages.
What you will do
- Design multimodal deep learning neural architectures for the DVPS research project.
- Design, implement, and run experiments on large GPU and HPC computing infrastructures.
- Evaluate models, monitor the state of the art, and benchmark research progress.
- Coordinate technical activities and research roadmaps with project partners.
- Guide junior researchers, including PhD students and interns.
- Organize scientific publications and open-source releases of models, datasets, and benchmarks.
Requirements
- Completed PhD or at least four years of industry research experience in deep learning or machine learning.
- Experience guiding junior researchers and defining research projects and experiments.
- Excellent programming skills in PyTorch.
- Familiarity with Docker, Unix operating systems, and running GPU experiments.
- Relevant scientific publications, teaching, and research experience.
- Excellent command of English and availability for on-site work in Rome, Italy.
Nice to have
- GPU training and inference optimization experience.
- Open-source contributions or publications at leading ML and AI conferences.
- Polyglot abilities.
Culture & Benefits
- Work in a science-driven startup environment connecting research with production technology.
- Personalized learning paths and networking events with industry leaders.
- Access to a gym, swimming pool, sauna, massages, relaxation rooms, and fully equipped kitchens.
- Psychological, legal, and financial support.
- Research outputs are released as open source on HuggingFace.
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