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Por favor, presente su candidatura sin demora si su perfil encaja bien con este puesto, debido al alto nivel de interés.

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
- 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, xqbhyrx 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

Contract: Fixed‐term until June 2026

Seniority level

- Mid‐Senior level

Employment type

- Contract

Job function

- Information Technology

📌 Deep Learning Engineer (Zaragoza)
🏢 DeepRec.ai
📍 Zaragoza