Senior Software Engineer, Personalization
08001, Barcelona, Cataluna, España
Publicado en 2026-06-01
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Desarrollo de Software
Machine Learning, Ingeniero de IA
Job Description
Machine Learning Engineer, Personalization - Dow Jones, Barcelona
About the TeamOur Technology team drives the evolution of our Engineering, Data, Product and User Experience functions. We shape the digital landscape for customers, readers and users across visuals, tools, data, mobile, video and social platforms, ensuring a seamless and immersive experience. We collaborate with newsrooms and partners to develop groundbreaking products and technologies.
Role OverviewAs a Senior Machine Learning Engineer on the Personalization team, you will design and build systems that deliver highly relevant, personalized experiences across our digital products. You will sit at the intersection of backend engineering, data, and applied AI, building scalable indexing, retrieval and ranking systems that serve content to millions of readers in real time.
Responsibilities- Design, build, and operate personalization systems and services powering content discovery and user engagement.
- Develop and improve ML models across the 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.
- 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 No
SQL databases. - Degree in computer science, machine learning, statistics, or equivalent work experience.
- 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€ per month on top of your salary).
- Retirement Plans (Dow Jones will pay 2% of a member’s 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.
Dow Jones is an 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 encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. Reasonable Accommodation:
We are committed to providing accommodation for qualified individuals with disabilities in our application and interview process. Please email ta with your accommodation needs.
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