Overview

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 / Ventajas

- 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
- 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 - Dow Jones & Co. (Barcelona)
🏢 Dow Jones
📍 Barcelona