This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Engineer — Distillation based in Spain.

This role offers the opportunity to advance the efficiency and scalability of next-generation machine learning systems.
You will work at the intersection of research and production, transforming cutting-edge model optimization techniques into real-world solutions.
The position focuses on building smaller, faster, and more cost-effective AI models while maintaining high-quality performance.
You will design advanced distillation pipelines, run large-scale experiments, and contribute directly to production systems.
This is an opportunity for an ML engineer who enjoys deep technical challenges, experimentation, and practical innovation.
You will join a collaborative environment where your work directly influences model quality, performance, and product impact.

Accountabilities

As a Machine Learning Engineer focused on Distillation, you will design, develop,



and optimize machine learning systems that improve model efficiency without compromising performance. You will combine research expertise with engineering execution to build scalable AI solutions.
- Design and implement advanced knowledge distillation pipelines, including teacher-student approaches, self-distillation, and multi-teacher architectures.
- Distill large foundation models into smaller, faster, and more efficient models optimized for production inference.
- Run large-scale machine learning experiments to evaluate model quality, latency, efficiency, and cost tradeoffs.
- Analyze experimental results and use insights to improve model performance and optimization strategies.
- Collaborate with research teams to transform emerging distillation techniques into reliable production-ready implementations.
- Optimize training and inference performance, including memory usage, throughput, latency, and computational efficiency.
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📌 Machine Learning Engineer — Distillation (España)
🏢 Jobgether
📍 España