AI Research Engineer – Pre Training (Spain)We are currently looking for an AI Research Engineer – Pre Training in Spain. This role sits at the core of next-generation AI model development, focusing on advancing large-scale pre-training systems that power state-of-the-art intelligence. You will work on cutting‑edge architectures spanning small, large, and multimodal models, directly influencing model capability, efficiency, and scalability. Operating in a highly research‑driven and distributed engineering environment, you will help push the boundaries of what modern AI systems can achieve. The position combines deep scientific exploration with hands‑on engineering on massive GPU clusters. You will design and optimize training pipelines that run across thousands of NVIDIA GPUs, ensuring performance at scale. This is an opportunity to contribute to foundational AI breakthroughs while collaborating with world‑class researchers and engineers in a fast‑paced, innovation‑focused setting.AccountabilitiesConduct large‑scale pre‑training of AI models on distributed GPU clusters, ensuring scalability, stability, and performanceDesign, prototype, and optimize novel model architectures, including transformer and non‑transformer approachesRun experiments, analyze results, and refine methodologies to improve training efficiency and model qualityIdentify and resolve bottlenecks in training systems, data pipelines,



and model performanceImprove distributed training infrastructure to support next‑generation AI workloadsCollaborate with researchers and engineers to translate experimental ideas into production‑ready training systemsContribute to the evolution of high‑performance AI training systems and frameworksRequirementsPhD or strong academic/research background in Computer Science, Machine Learning, NLP, or related fields (preferred)Hands‑on experience with large‑scale LLM pre‑training on distributed GPU infrastructure (thousands of GPUs)Strong understanding of transformer architectures and advanced model design techniquesExperience with distributed training frameworks and large‑scale AI systemsProficiency in PyTorch and Hugging Face ecosystem for model development and trainingStrong skills in debugging, optimizing, and improving model and system performanceAbility to design experiments, interpret results, and iterate on research hypothesesStrong collaboration and communication skills in research‑driven environmentsBenefitsCompetitive compensation package aligned with AI research market standardsRemote‑friendly and globally distributed work environmentOpportunity to work on frontier AI research at massive scaleAccess to high‑performance computing infrastructure and large GPU clustersCollaborative environment with top‑tier AI researchers and engineersHigh autonomy in research direction and experimentationExposure to state‑of‑the‑art AI systems and multimodal model developmentProfessional growth in a fast‑evolving, innovation‑driven AI ecosystem#J-18808-Ljbffr

📌 Ai Research Engineer - Pre Training (Madrid)
🏢 Jobgether
📍 Madrid