AI Research Engineer

Back to all rolesAI Research EngineerApplyJob detailsBusinessItalyFull-time€50,000 EUR - €80,000 EURWork somewhere with the creativity of a scale-up 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. What You Have 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).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 (TensorBoard, 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.What Would Be 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 communityKnowledge of AI safety, alignment, or adversarial robustness techniques.Experience with low-precision training (FP8, FP4), quantization, pruning, or distillation at scale.Who you areA 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.Unwavering Excellence, your academic or professional journey is marked by consistent accomplishments, always striving for superior outcomes.Driven and Fearless, motivated and unafraid of challenges, you proactively overcome obstacles.Passionate Enthusiast, you have a genuine love for the field, you stay updated with the latest developments.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.BenefitsPerksLearning 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.Smart Working. Trains can be a drag, you can save some commuting time by working from home.Salary is based on experience and topped up with other bonuses.We 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...