Machine Learning Engineer (Personalization)

Requirements3+ years of industry experience applying machine learning methods, with a strong focus on recommender systems, search, ranking, or personalizationStrong proficiency in Python for production ML systemsExperience with A/B testing and experimentation frameworks to measure model impactFamiliarity with cloud platforms (AWS, GCP, or Azure) and containerized environmentsFamiliarity with SQL and NoSQL databasesDegree in computer science, machine learning, statistics, or equivalent work experienceWhat the job involvesWe are looking for a Senior Machine Learning Engineer to join our Personalization team in BarcelonaYou will design and build systems that deliver highly relevant, personalized experiences across our digital productsThis role sits at the intersection of backend engineering, data, and applied AI-leveraging modern architectures and machine learning techniques to connect users with the most relevant contentYou will play a key role in building scalable indexing, retrieval and ranking systems that serve personalized content to millions of readers in real timeYou will partner closely with product, data science, and engineering teams, bringing technical depth and sound judgment to architectural decisions, model design, and evaluation methodologyDesign, build, and operate personalization systems and services powering content discovery and user engagementDevelop and improve ML models across the whole personalization stack, from candidate generation to final rankingUse data-driven methods to improve candidate retrieval, leveraging embeddings, two-tower architectures, and user/content signalsDrive experimentation and A/B testing to measure impact and iterate on models and featuresLeverage LLMs to enhance content understanding and feature extractionOptimize systems for performance, latency, and scalability across high-traffic environmentsContribute to engineering best practices, including testing, observability, and CI/CDCollaborate with product managers, data scientists, and analysts to translate business needs into scalable technical solutions#J-*****-Ljbffr

3+ years of industry experience applying machine learning methods, with a strong focus on recommender systems, search, ranking, or personalization Strong proficiency in Python for production ML systems Experience with A/B testing and experimentation frameworks to measure model impact Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized environments Familiarity with SQL and NoSQL databases Degree in computer science, machine learning, statistics, or equivalent work experience