Machine Learning Engineer, Personalization

Storyful; Barcelona; Híbrido; EUR 55.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare plans

Extra time off

Remote work option

Meal benefit

Retirement plan

Insurance plans

Well-being resources

Family care

Referral program

Equal opportunity

Descripción de la vacante

Dow Jones in Barcelona is seeking a Senior Machine Learning Engineer to join our Personalization team. You will design and operate systems delivering highly relevant, personalized content for millions of readers in real time, bridging backend, data, and AI to power graph-based ranking and retrieval across our digital products.

You will work with product, data science, and engineering to translate business needs into scalable technical solutions, improve candidate retrieval with embeddings, and

Formación

• 3+ years of industry experience applying machine learning methods, with a 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.

Responsabilidades

• 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 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 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 technical solutions.

Conocimientos

Python

Recommender systems

A/B testing

Cloud platforms

SQL/NoSQL

Machine learning

Educación

Degree in computer science, ML, statistics

Herramientas

Docker

Kubernetes

SQL/NoSQL tooling

Descripción del empleo

Job Description: Machine Learning Engineer, Personalization Dow Jones

Job Location: Barcelona

About the Team

Our Technology team drives the evolution of our Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.

About the Role

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.

You Will

• 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.

You Have

• 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.

Our Benefits

• Comprehensive Healthcare Plans for you and your family (paid by Dow Jones)
• Extra paid Time Off (30 days of holidays/year)
• Possibility to work remotely for 3 months/year (desplazamiento program) or one week of remote work per quarter
• Meal benefit with Pluxee (171€/month on top of your salary)
• Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %)
• Comprehensive Insurance Plans
• Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
• Family Care Benefits & Caregiving Support
• Subscription Discounts
• Employee Referral Program
• Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic.

We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [e-mail]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates. Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area

Dow Jones - Technology

Job Category

Software Product Engineering

Union Status

Non-Union role

Base Pay Range

55,000 € - 70,000 €

We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors. For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions. For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.

Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest newsgathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).