Overview
La experiencia que se espera de los solicitantes, así como las habilidades y cualificaciones adicionales necesarias para este trabajo, se enumeran a continuación.
In this role you will design and operate scalable search and personalization systems to deliver highly relevant experiences to millions of readers. You’ll work at the intersection of backend engineering, data, and applied AI within the Search team in Barcelona, shaping content discovery and user engagement. You’ll drive model development, experimentation, and deployment while collaborating with product and data teams to turn business needs into scalable, high-performance solutions. This is an opportunity to leverage embeddings, two-tower architectures, and LLMs to elevate search quality in a high-traffic environment.
Compensaciones / Incentivos
Comprehensive Healthcare Plans
Extra paid Time Off (30 holidays)
Remote work options ( Hybrid Barcelona)
Meal benefit with Pluxee
Pension plan with company match
Well-being resources (Classpass, Spring Health)
Responsabilidades
Design, build, and operate search systems powering content discovery and engagement
Develop and improve ML models across the personalization stack from candidate generation to ranking
Improve candidate retrieval using embeddings,



two-tower architectures and user/content signals
Drive experimentation and A/B testing to measure impact and iterate
Leverage LLMs to enhance content understanding and feature extraction
Optimize systems for performance, latency, and scalability in high-traffic environments
Contribute to engineering best practices including testing, observability, and CI/CD
Collaborate with product managers, data scientists, and analysts to translate business needs into scalable solutions
Requisitos principales
2-4 years of industry ML experience with focus on recommender, search, ranking, or personalization xqbhyrx
Strong proficiency in Python for production ML systems
Experience with A/B testing and experimentation frameworks
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
colaboration with cross-functional teams
data-driven decision making
strong judgment in architectural decisions
Machine learning for recommender systems / ranking
Python for production ML
A/B testing frameworks

📌 Senior Machine Learning Engineer, Search (Barcelona)
🏢 Dow Jones
📍 Barcelona