A Quantum Computing & AI software company based in Barcelona are seeking to bolster their team with a Deep Learning engineer.
Please note this is a fixed term contract until June 2026
Responsibilities:
* Lead the end-to-end design, training, optimization, and evaluation of deep learning models (LLMs and computer vision), from data preparation through large-scale distributed training and deployment.
* Research, apply, and advance state-of-the-art model compression techniques—including pruning, distillation, quantization, and architectural optimisation—to balance accuracy, latency, cost, and hardware constraints.
* Build and maintain reproducible, automated pipelines for large-model training and compression, incorporating ablation studies, benchmarking, and systematic evaluation.
* Develop and curate datasets and fine-tuning strategies (e.g., SFT, preference optimisation, prompt engineering) tailored to domain-specific and real-world use cases.
* Integrate compressed models into production systems, collaborating closely with cross-functional teams while maintaining high engineering standards, documentation, and code quality.
Responsibilities:
* Master's or Ph.D. in Computer Science, Machine Learning, Electrical Engineering, Physics, or a closely related technical field.
* 3+ years of hands-on experience training deep learning models from scratch, including architecture design, data pipelines, training loops, and distributed training.
* Strong expertise in model compression methods (pruning, distillation, low-rank factorisation, quantization) and performance analysis through ablations and error diagnostics.
* Deep understanding of modern model architectures (LLMs and/or computer vision), training dynamics, optimisation techniques, and the full model lifecycle.
* Proficiency with Python, PyTorch, and modern ML tooling, along with experience building scalable, reproducible training pipelines and optimizing models for real-world deployment constraints.
If this role is of interest please apply directly on LinkedIn or send a copy of your CV to alex@eu-recruit.com.
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