Machine Learning Engineer (Personalization)

Dow Jones; Barcelona; Presencial; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

Dow Jones is seeking a Senior Machine Learning Engineer to join our Personalization team in Barcelona. This role involves designing and building systems that deliver highly relevant, personalized experiences across our digital products.

The ideal candidate has strong ML expertise and proficiency in Python, with experience in A/B testing and cloud platforms. You'll contribute to developing scalable indexing and ranking systems, leveraging advanced machine learning techniques to enhance content discovery.

Formación

• 3+ years of industry experience applying machine learning methods, focused on recommender systems.
• Strong proficiency in Python for production ML systems.
• Familiarity with A/B testing frameworks to measure model impact.

Responsabilidades

• Design and build systems delivering personalized experiences across digital products.
• Develop ML models improving personalization stack from candidate generation to ranking.
• Collaborate with teams to translate business needs into scalable technical solutions.

Conocimientos

Machine learning methods

Python programming

A/B testing

SQL and NoSQL databases

Cloud platforms (AWS, GCP, or Azure)

Educación

Degree in computer science, machine learning, statistics, or equivalent

Descripción del empleo

Requirements

• 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

What the job involves

• We are looking for a Senior Machine Learning Engineer to join our Personalization team in Barcelona
• You will design and build systems that deliver highly relevant, personalized experiences across our digital products
• This 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 content
• You will play a key role in building scalable indexing, retrieval and ranking systems that serve personalized content to millions of readers in real time
• You will partner closely with product, data science, and engineering teams, bringing technical depth and sound judgment to architectural decisions, model design, and evaluation methodology
• Design, build, and operate personalization systems and services powering content discovery and user engagement
• Develop and improve ML models across the whole personalization stack, from candidate generation to final ranking
• Use data-driven methods to improve candidate retrieval, leveraging embeddings, two-tower architectures, and user/content signals
• Drive experimentation and A/B testing to measure impact and iterate on models and features
• Leverage LLMs to enhance content understanding and feature extraction
• Optimize systems for performance, latency, and scalability across 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 technical solutions