PpWork somewhere with the creativity of a scale‑up and expertise of an enterprise. /p pJoin 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. /p pYou’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. /p pYou’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. /p pAs 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. /p h3What You Have /h3 ul liPhD in Computer Science, Artificial Intelligence or a related field, or equivalent practical experience. /li liAt least 5 years of proven experience as an AI research engineer or more than 2 years of experience and a PhD. /li liExpertise in modern machine learning frameworks such as PyTorch, TensorFlow, and JAX, with deep knowledge of distributed training (Pytorch Distributed, Ray, DeepSpeed). /li liStrong background in parallel computing and high‑performance systems, including CUDA programming and compiler optimizations. /li liHands‑on experience with ML model debugging and performance profiling tools (TensorBoard, Weights Biases, NVIDIA Nsight). /li liProficiency in Python and C++ or Rust, particularly for high‑performance inference and AI accelerators. /li liSolid understanding of mathematics behind deep learning (linear algebra, probability, optimization). /li liExperience deploying models in production, optimizing for latency, throughput, and memory efficiency. /li /ul h3What Would Be Nice to Have /h3 ul liTrack record of publications at top‑tier AI venues, reflecting a deep understanding of frontier research. /li liContributions to open‑source AI projects, demonstrating systems‑level thinking and impact in the research community. /li liKnowledge of AI safety, alignment, or adversarial robustness techniques. /li liExperience with low‑precision training (FP8, FP4), quantization, pruning, or distillation at scale. /li /ul h3Who you are /h3 ul liA 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. /li liUnwavering Excellence, your academic or professional journey is marked by consistent accomplishments, always striving for superior outcomes. /li liDriven and Fearless, motivated and unafraid of challenges, you proactively overcome obstacles. /li liPassionate enthusiast, you have a genuine love for the field, you stay updated with the latest developments. /li liSystems thinker, you thrive at the intersection of research and engineering, optimizing infrastructure for trillion‑parameter models. /li liCollaborative team player, enthusiastic, curious, and adept at problem‑solving, you excel independently and in a team environment. /li liFluent in English, you’re eager to contribute in a multicultural, international setting. /li /ul h3Benefits /h3 ul liLearning Friday. If our team members know more, so do we. /li liSmart Working. Trains can be a drag, you can save some commuting time by working from home. /li /ul pSalary is based on experience and topped up with other bonuses. /p pWe 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. /p /p #J-18808-Ljbffr