07 sep
|
DeepRec.ai
|
Zaragoza
07 sep
DeepRec.ai
Zaragoza
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 (Zaragoza)
🏢 DeepRec.ai
📍 Zaragoza