Junior AI Research Engineer

Back to all rolesJunior AI Research Engineer ApplyJob detailsBusiness / ModelsItalyFull-time€30,000 EUR - €50,000 EURWork 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 a Junior 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 Master’s Degree in Computer Science, Artificial Intelligence or a related field.Up to 2 years of proven experience as an AI research engineer or in similar roles.Hands-on experience with at least one modern machine learning framework (e.g., PyTorch, TensorFlow, or JAX) through academic, research, or personal projects. Familiarity with distributed training concepts is a plus.Basic understanding of parallel computing concepts and high-performance systems. Exposure to CUDA programming, or compiler optimization is a plus.Hands-on experience with ML model debugging tools such as TensorBoard and Weights & Biases. Exposure to performance profiling tools (e.g., NVIDIA Nsight) is a plus. Proficiency in Python and familiarity with C++ or Rust. Exposure to AI inference, model optimization, or AI accelerators is a plus. Solid understanding of mathematics behind deep learning (linear algebra, probability, optimization).Exposure to deploying models in production, including 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 community.Familiarity with 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...