Deep Learning Engineer

hace 2 semanas


Zaragoza, España DeepRec.ai A tiempo completo

A leading European deep-tech company in AI and quantum technologies is looking for a talented Deep Learning Engineer to join their team on a fixed-term contract ending June 2026. This is an exciting opportunity to work on cutting-edge AI and LLM compression—reducing model sizes by up to 95% while cutting inference costs by 50–80%—impacting real-world AI deployments globally. What's on Offer: Competitive annual salary Signing bonus at incorporation + retention bonus at contract completion Relocation package if needed Hybrid work: 3 days in-office, 2 days remote Flexible working hours International, multicultural environment Fast-growing, Series B backed company at the forefront of deep tech Role Responsibilities: Design, train, and optimize LLMs and computer vision models end-to-end Apply and develop state-of-the-art model compression techniques (pruning, distillation, quantization, low-rank decomposition)Build reproducible pipelines for large-model compression and evaluation Conduct fine-tuning, empirical studies, and benchmark analysis for real-world deployment Collaborate with cross-functional teams to integrate compressed models into production Required Experience: Master's or Ph.D. in Computer Science, Machine Learning, EE, Physics, or related field 3+ years hands-on experience training deep learning models from scratch Expertise in model compression techniques and foundational architectures (CV & LLMs)Strong Python & PyTorch skills; familiarity with HuggingFace, Lightning, DeepSpeed, or equivalent Experience with large-scale distributed training and optimizing models for deployment Preferred: Ph.D. with focus on efficient deep learning, compression, sparsity, NAS Open-source contributions in ML/compression tools Experience with hardware-aware model optimization Locations: Madrid, Zaragoza, Barcelona (Hybrid)Contract: Fixed-term until June 2026


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