Deep Learning Engineer

DeepRec.ai; Zaragoza; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive annual salary

Signing bonus

Retention bonus

Relocation package

Hybrid work model

Descripción de la vacante

A leading European deep-tech company is seeking a Deep Learning Engineer to work on groundbreaking AI and model compression projects. The ideal candidate will have a Master's or Ph.D. and significant experience in deep learning, with a focus on model optimization and compression techniques. This role offers a competitive salary, a hybrid work model, and the chance to make a significant impact on AI deployments worldwide. The contract lasts until June 2026.

Formación

• 3+ years hands-on experience training deep learning models from scratch.
• Expertise in model compression techniques.
• Strong Python & PyTorch skills.
• Strong Python & PyTorch skills; familiarity with HuggingFace, Lightning, DeepSpeed, or equivalent.
• Experience with large-scale distributed training and optimizing models for deployment.

Responsabilidades

• Design, train, and optimize LLMs and computer vision models.
• Develop state-of-the-art model compression techniques.
• Build reproducible pipelines for large-model compression.
• Conduct fine‑tuning, empirical studies, and benchmark analysis for real‑world deployment.
• Collaborate with cross‑functional teams to integrate compressed models into production.

Conocimientos

Python

PyTorch

Model compression techniques

Deep learning models

Large-scale distributed training

Distributed Training

Model Compression

Educación

Master’s or Ph.D. in Computer Science

Herramientas

HuggingFace

Lightning

DeepSpeed

Descripción del empleo

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