This role sits at the core of a next-generation ecommerce search and discovery platform that operates at massive general scale. You will be responsible for building and optimizing machine learning systems that directly impact relevance, recall, and business-critical outcomes such as conversion and revenue. The environment is highly technical and innovation-driven, with a strong emphasis on production-grade ML systems and measurable impact. You will collaborate with engineers across distributed teams to push the boundaries of LLMs, deep learning, and large-scale data systems. Design, build, and deploy robust machine learning systems for search and discovery, including NLP, image-based, and multimodal models that improve recall and relevance.
Develop and optimize ML/DL models using transformer architectures and LLM techniques to enhance system performance and business KPIs.
Translate research ideas and hypotheses into production-ready engineering solutions that improve search quality, ranking, and user experience.




Work on large-scale distributed data pipelines and ML workflows using big data technologies to support end-to-end model development and deployment.
Collaborate closely with cross-functional engineering teams to integrate models into broader platforms and ensure system scalability and reliability.
Conduct performance optimization and iterative experimentation to continuously improve model efficiency and business impact.
3+ years of professional experience in applied machine learning with a proven track record of delivering production-grade ML systems.
~ Strong expertise in NLP, particularly transformer-based models, along with solid understanding of classical machine learning techniques.
~ Advanced Python skills and hands-on experience with deep learning frameworks (PyTorch preferred).
~ Strong experience with SQL (e.g., SparkSQL, MySQL or similar) and working knowledge of large-scale data processing systems such as PySpark.
~ Ability to translate business pro

📌 Senior Machine Learning Engineering (Madrid)
🏢 Jobgether
📍 Madrid