As an Applied ML Engineer, you'll work at the intersection of machine learning research, experimentation, and production engineering. You'll turn ideas from research papers into rigorous experiments, measurable evidence, and reliable products. The role spans model evaluation, model internals, inference infrastructure, backend systems, and user-facing product experiences. It's an opportunity to help transform emerging ML techniques into practical systems that people can trust.
AccountabilitiesReproduce and evaluate machine learning research methods using open-weight and API-accessible models.
Design evaluation datasets, probes, scoring approaches, baselines, calibration tests, and experiment harnesses.
Turn research workflows into intuitive product experiences, including experiment configuration, execution, traces, comparisons, reports, and review workflows.
Design controlled experiments that distinguish meaningful signals from artifacts, confounders, and misleading correlations.
Deliver production-quality systems with APIs, asynchronous jobs, databases, observability, testing,



deployment, and documentation.
Contribute across research, experimentation, engineering, and product as priorities evolve.
Run controlled experiments across base, fine-tuned, merged, quantized, and known distilled models, improving understanding of when verification methods succeed, fail, and why.
RequirementsStrong Python engineering skills, with hands-on experience using PyTorch and Hugging Face Transformers.
Solid understanding of machine learning evaluation, including dataset design, baselines, metrics, calibration, false positives and negatives, statistical uncertainty, and reproducibility.
Ability to read ML research papers critically and implement methods from first principles rather than relying entirely on existing packages.
Professional software engineering experience beyond notebooks, including APIs, asynchronous jobs, databases, logging, testing, deployment, and documentation.
Abil

📌 Applied Machine Learning Engineer (Madrid)
🏢 Jobgether
📍 Madrid