Deep Learning Engineer

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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

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• 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

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• 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

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• 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 xghoner distributed training and optimizing models for deployment
  

Preferred

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• 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

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• Mid‑Senior level
  

Employment type

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• Contract
  

Job function

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• Information Technology
  

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