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.
Accountabilities

Conduct large‑scale pre‑training of AI models on distributed GPU clusters, ensuring scalability, stability, and performance
Design, prototype, and optimize novel model architectures, including transformer and non‑transformer approaches
Run experiments, analyze results, and refine methodologies to improve training efficiency and model quality
Identify and resolve bottlenecks in training systems, data pipelines, and model performance
Improve distributed training infrastructure to support next‑generation AI workloads




Collaborate with researchers and engineers to translate experimental ideas into production‑ready training systems
Contribute to the evolution of high‑performance AI training systems and frameworks

Requirements

PhD 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 techniques
Experience with distributed training frameworks and large‑scale AI systems
Proficiency in PyTorch and Hugging Face ecosystem for model development and training
Strong skills in debugging, optimizing, and improving model and system performance
Ability to design experiments, interpret results, and iterate on research hypotheses
Strong collaboration and communication skills in research‑driven environments

Benefits

Competitive compensation package aligned with AI research market standards
Remote‑friendly and globally distributed work environment
Opportunity to work on frontier AI research at massive scale
Access to high‑performance computing infrastructure and large GPU clusters
Collaborative environment with top‑tier AI researchers and engineers
High autonomy in research direction and experimentation
Exposure to state‑of‑the‑art AI systems and multimodal model development
Professional growth in a fast‑evolving, innovation‑driven AI ecosystem

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📌 AI Research Engineer - Pre training (Madrid)
🏢 Jobgether
📍 Madrid