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

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