This role sits at the core of a next-generation ecommerce search and discovery platform that operates at massive global 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. Working on transformer-based and multimodal models, you will help shape how users discover products across search, recommendations, and visual shopping experiences. 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. This is an opportunity to work on one of the most advanced AI-driven ecommerce search infrastructures in the industry.

Descubra si esta posibilidad es adecuada para usted leyendo toda la información que sigue a continuación.
Accountabilities

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- 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.

Requirements

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- 3+ years of professional experience in applied machine learning with a proven track record of delivering pro

📌 Senior Machine Learning Engineer: ML Recall (Madrid)
🏢 Jobgether
📍 Madrid