Descrizione:
Role Summary Work somewhere with the creativity of a scaleup and expertise of an enterprise. 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. Qualifications Ph D 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 Ph D. Expertise in modern machine learning frameworks such as Py Torch, Tensor Flow, and JAX, with deep knowledge of distributed training (Py Torch Distributed, Ray, Deep Speed). Strong background in parallel computing and high‑performance systems, including CUDA programming and compiler optimizations. Hands‑on experience with ML model debugging and performance profiling tools (Tensor Board, Weights & Biases, NVIDIA Nsight). 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). Experience deploying models in production, optimizing for latency, throughput, and memory efficiency. Nice to Have 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. Knowledge of AI safety, alignment, or adversarial robustness techniques. Experience with low‑precision training (FP8, FP4), quantization, pruning, or distillation at scale. Desired Attributes A versatile engineer comfortable operating across research and production environments, enjoys solving complex infrastructure challenges, and is motivated by building scalable AI systems with real‑world impact. Unwavering Excellence: academic or professional journey marked by consistent accomplishments, always striving for superior outcomes. Driven and Fearless: motivated and unafraid of challenges, proactively overcoming obstacles. Passionate Enthusiast: genuine love for the field, staying updated with the latest developments. Systems Thinker: thrives at the intersection of research and engineering, optimizing infrastructure for trillion‑parameter models. Collaborative Team Player: enthusiastic, curious, adept at problem‑solving, excels independently and in a team environment. Fluent in English, eager to contribute in a multicultural, international setting. Benefits Learning Friday: training budget for books, online courses or other training materials. Smart Working: flexible working arrangements, including remote work. Salary is based on experience and topped up with other bonuses. Compensation We offer a competitive salary ranging between €50,000 and €80,000. As you gain experience and make more significant contributions, your compensation will be reviewed to match your impact. Depending on seniority and performance, you may receive stock options with a variable value calculated from your base salary, allowing you to participate directly in the company’s success. Employment Terms Employment terms are governed by the CCNL Commercio, the Italian National Collective Bargaining Agreement for the Commerce, Distribution and Services sector. #J-18808-Ljbffr