Applied AI Researcher (Foundation Models)

Location: Rome, Italy; flexible remote work is available, with periodic presence required at the Rome HQ

Salary: €35,000–€55,000 gross annually, with higher compensation possible for exceptionally strong candidates.

Company

hirify.global develops AI-powered language solutions, including proprietary translation AI, localization platforms, and tools for language professionals.

What you will do

• Design and conduct research on large language model pre-training and multilingual language modeling.
• Design, implement, run, and analyze machine learning experiments at scale.
• Investigate model architectures, optimization strategies, training dynamics, and scaling behavior.
• Develop data selection, filtering, quality, composition, and mixture strategies for LLM training.
• Evaluate and benchmark models across multilingual and general-purpose datasets.
• Run experiments on large GPU clusters and HPC infrastructure and convert research findings into training decisions.

Requirements

• 3+ years of research or industry experience in deep learning, machine learning, NLP, 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 pre-training or continuing the pre-training of large language models.
• Experience with distributed and 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

• Flexible remote work policy combined with periodic office presence.
• 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.
• Work from Pi Campus, a nature-oriented office environment in Rome.