Deep Learning Engineer

Hace 8 meses

Zaragoza, Aragón, España DeepRec.ai Jornada completa

Direct message the job poster from DeepRec.ai

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, 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