Deep Learning Scientist – Foundation Models (AI)

Location: Rome, Italy; flexible smart-working policy with regular presence required at the Rome headquarters

Salary: €40,000–€55,000 per year, with higher offers possible for exceptionally strong candidates

Company

hirify.global is a technology-powered professional translation provider developing AI and language technologies for global translation products.

What you will do

• Design and conduct research on large language model pre-training.
• Design, implement, run, and analyze machine learning experiments at scale.
• Investigate model architectures, optimization strategies, training dynamics, and scaling behavior.
• Develop multilingual training strategies and experiments involving data selection, quality, composition, and mixture design.
• Evaluate models using multilingual and general-purpose benchmarks.
• Run experiments on large-scale GPU clusters and HPC infrastructure and turn research findings into training decisions.

Requirements

• 3+ years of research or industry experience in deep learning, machine learning, natural language processing, or large language models.
• Strong understanding of modern deep learning and Transformer-based language models.
• Excellent programming skills in Python and experience designing and running machine learning experiments.
• Familiarity with GPU-based training environments and Unix/Linux systems.
• Ability to analyze experimental results, reproduce recent scientific literature, and make evidence-based research decisions.
• Excellent written and spoken English and the ability to collaborate with researchers and engineers.

Nice to have

• Experience with large language model pre-training, distributed or multi-GPU training, or frameworks such as Megatron Bridge.
• Experience optimizing GPU utilization, throughput, memory consumption, or training stability.
• Experience with multilingual NLP, large-scale dataset curation, deduplication, data mixture design, LLM evaluation, or HPC environments.

Culture & Benefits

• Science-driven environment combining experimental research with engineering for large-scale model training.
• Personalized learning paths and networking events with industry leaders.
• Access to a gym, swimming pool, sauna, massages, relaxation rooms, cafeteria, and equipped kitchens.
• Psychological, legal, and financial support when needed.
• Inclusive and equal-opportunity workplace.