PWork somewhere with the creativity of a scaleup and expertise of an enterprise. /ppbr/ppJoin 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. /ppbr/ppYou'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. /ppbr/ppYou'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. /ppbr/ppAs 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. /ppbr/ppstrongWhat You Have /strong /ppbr/pulliPhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience. /liliAt least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD /liliExpertise in modern machine learning frameworks such as PyTorch, TensorFlow, and JAX, with deep knowledge of distributed training (Pytorch Distributed, Ray, DeepSpeed). /liliStrong background in parallel computing and high-performance systems, including CUDA programming and compiler optimizations. /liliHands-on experience with ML model debugging and performance profiling tools (TensorBoard, Weights Biases, NVIDIA Nsight). /liliProficiency in Python and C++ or Ruststrong, /strong particularly for high-performance inference and AI accelerators. /liliSolid understanding of mathematics behind deep learning (linear algebra, probability, optimization). /liliExperience deploying models in productionstrong, /strongoptimizing for latency, throughput, and memory efficiency. /li /ulpbr/ppstrongWhat Would Be Nice to Have /strong /ppbr/pulliTrack record of publications at top-tier AI venues, reflecting a deep understanding of frontier research. /liliContributions to open-source AI projects, demonstrating systems-level thinking and impact in the research community /liliKnowledge of AI safety, alignment, or adversarial robustness techniques. /liliExperience with low-precision training (FP8, FP4), quantization, pruning, or distillation at scale. /li /ulpbr/ppstrongWho you are /strong /ppbr/pulliA 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. /liliUnwavering Excellencestrong, /strongyour academic or professional journey is marked by consistent accomplishments, always striving for superior outcomes. /liliDriven and Fearless, motivated and unafraid of challenges, you proactively overcome obstacles. /liliPassionate Enthusiast, you have a genuine love for the field, you stay updated with the latest developments. /liliSystems Thinker, you thrive at the intersection of research and engineering, optimizing infrastructure for trillion-parameter models. /liliCollaborative Team Player, enthusiastic, curious, and adept at problem-solving, you excel independently and in a team environment. /liliFluent in English, you're eager to contribute in a multicultural, international setting. /li /ulpbr/ppstrongBenefits /strong /ppstrongPerks /strong /ppbr/pulliLearning Friday. If our team members know more, so do we. That’s why we give everyone a training budget that they can spend on books, online courses or other training materials. /liliSmart Working. Trains can be a drag, you can save some commuting time by working from home. /liliSalary is based on experience and topped up with other bonuses. /li /ulpbr/ppWe offer a competitive salary, as well as an opportunity to receive company equity. The typical salary for this role ranges between € 50.000 and € 80.000. As you gain experience and make more significant contributions to the business, your compensation will be reviewed to match your impact. Additionally, depending on your seniority and your performance, you'll have the opportunity to receive stock options, with a variable value calculated from your base salary, giving you the chance to directly participate in the company’s success. /ppEmployment terms are governed by the CCNL Commercio, the Italian National Collective Bargaining Agreement for the Commerce, Distribution and Services sector. /ppbr/ppstrongAbout Domyn /strong /ppbr/ppDomyn 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. Provided under an open-enterprise license, these models can be fully transferred and owned by clients. Once deployed, they enable customizable agents that operate on proprietary data to solve complex, domain-specific problems. All solutions are managed via a unified platform with native tools for access management, traceability, and security. 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. Clients include Allianz, Intesa Sanpaolo, and Fincantieri. /ppbr/ppPlease review our Privacy Policy here. /p