Senior Deep Learning Scientist (On-site)
Pubblicato il 29-09-2026 - Translated in Milano
Overview
Continui 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 / Benefits
- personalized learning paths
- massages, sauna, gym, swimming pool
- psychological, legal, and financial support
- open and collaborative learning environment
- access to cutting-edge AI research
Responsabilità
- Design and implement deep learning multimodal architectures
- Run large-scale experiments on GPU HPC infrastructure
- 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
Requisiti fondamentali
- 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 xysqume 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
- Mentoring and leadership of junior researchers
- Strong communication and collaboration with cross-functional teams
- Experience coordinating research activities with external partners
- PyTorch
- Docker
- Unix/Linux