ppОписание: Dow Jones is a integral provider of news and business information, delivering content to consumers and organizations worldwide across print, digital, mobile, and live event formats. /ph3Задачи /h3ulliDesign, build, and operate personalization systems and services powering content discovery and user engagement; /liliDevelop and improve ML models across the personalization stack, from candidate generation to final ranking; /liliImprove candidate retrieval using embeddings, two-tower architectures, and user and content signals; /liliDrive experimentation and A/B testing to measure impact and iterate on models and features; /liliLeverage LLMs to enhance content understanding and feature extraction; /liliOptimize systems for performance, latency, and scalability across high-traffic environments; /liliContribute to engineering best practices, including testing, observability, and CI/CD; /liliCollaborate with product managers, data scientists, and analysts to translate business needs into scalable technical solutions. /li /ulh3Требования /h3ulli3+ Years of industry experience applying machine learning methods, with a strong focus on recommender systems, search, ranking,



or personalization; /liliStrong proficiency in Python for production ML systems; /liliExperience with A/B testing and experimentation frameworks to measure model impact; /liliFamiliarity with cloud platforms such as AWS, GCP, or Azure and containerized environments; /liliFamiliarity with SQL and NoSQL databases; /liliDegree in computer science, machine learning, statistics, or equivalent work experience. /li /ulh3Условия /h3ulliComprehensive healthcare plans for the employee and family, paid by Dow Jones; /lili30 Days of paid holidays per year; /liliRemote work for 3 months per year through the desplazamiento program or one week of remote work per quarter; /liliMeal benefit of 171€/month on top of salary; /liliRetirement plan contributions: 2% of pensionable salary paid by Dow Jones and employee contribution matching up to 3%; /liliComprehensive insurance plans; /liliWell-being resources, including a 200 USD quarterly allowance and ClassPass; /liliFamily care benefits and caregiving support; /liliSubscription discounts; /liliEmployee referral program. /li /ul /p #J-18808-Ljbffr

📌 machine learning engineer (Barcelona)
🏢 Enfint
📍 Barcelona