Join our AI Research Team in Milan to build the next generation of large language models, across the full life cycle: pretraining on trillions of tokens, state-of-the-art post-training, and releases spanning from a few billion to hundreds of billions of parameters.
You'll collaborate directly with leading industry labs like NVIDIA, and your work will ship into mission-critical deployments with some of the largest players in banking, defense, manufacturing, and the public sector.
You'll have first-class access to our proprietary sovereign HPC, powered by NVIDIA Blackwell GPUs and designed for frontier-scale model training, alongside additional allocations on European HPC infrastructure.
As an AI Research Engineer, you'll sit at the intersection of research and production, designing and optimizing the infrastructure that trains and serves these models. Expect to touch every layer of the stack, and contribute to open-source projects shaping the European AI ecosystem.
PhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience.
At least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD
Expertise in modern machine learning frameworks such as PyTorch, TensorFlow, and JAX, with deep knowledge of distributed training (Pytorch Distributed, Ray, DeepSpeed).
Proficiency in Python and C++ or Rust, particularly for high-performance inference and AI accelerators.
Solid understanding of mathematics behind deep learning (linear algebra, probability, optimization).
Track record of publications at top-tier AI venues, reflecting a deep understanding of frontier research.
Contributions to open-source AI projects, demonstrating systems-level thinking and impact in the research community
Experience with low-precision training (FP8, FP4), quantization, pruning, or distillation at scale.
A versatile engineer who is comfortable operating across both research and production environments, enjoys solving complex infrastructure challenges, and is motivated by building scalable AI systems with real-world impact.
Systems Thinker, you thrive at the intersection of research and engineering, optimizing infrastructure for trillion-parameter models.
Collaborative Team Player, enthusiastic, curious, and adept at problem-solving, you excel independently and in a team environment.
Fluent in English, you're eager to contribute in a multicultural, international setting.
That’s why we give everyone a training budget that they can spend on books, online courses or other training materials.
Smart Working. Trains can be a drag, you can save some commuting time by working from home.
As you gain experience and make more significant contributions to the business, your compensation will be reviewed to match your impact. Employment terms are governed by the CCNL Commercio, the Italian National Collective Bargaining Agreement for the Commerce, Distribution and Services sector.
Domyn is a company specializing in the research and development of Responsible AI for regulated industries, including financial services, government, and heavy industry. It supports enterprises with proprietary, fully governable solutions based on a composable AI architecture — including LLMs, AI agents, and one of the world's largest supercomputers. At the core of Domyn's product offer is a chip-to-frontend architecture that allows organizations to control the entire AI stack — from hardware to application — ensuring isolation, security, and governance throughout the AI lifecycle. Its foundational LLMs, Domyn Large and Domyn Small, are designed for advanced reasoning and optimized to understand each business's specific language, logic, and context. Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. Powering it all, Colosseum — a supercomputer in development using NVIDIA Grace Blackwell Superchips — will train next-gen models exceeding 1T parameters. Domyn partners with Microsoft, NVIDIA, and G42.