Описание: Dow Jones is a general provider of news and business information, delivering content to consumers and organizations worldwide across print, digital, mobile, and live event formats. Задачи * 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; * Improve candidate retrieval using embeddings, two-tower architectures, and user and 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. Требования * 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 such as AWS, GCP, or Azure and containerized environments; * Familiarity with SQL and NoSQL databases; * Degree in computer science, machine learning, statistics, or equivalent work experience. Условия * Comprehensive healthcare plans for the employee and family, paid by Dow Jones; * 30 Days of paid holidays per year; * Remote work for 3 months per year through the desplazamiento program or one week of remote work per quarter; * Meal benefit of 171€/month on top of salary; * Retirement plan contributions: 2% of pensionable salary paid by Dow Jones and employee contribution matching up to 3%; * Comprehensive insurance plans; * Well-being resources, including a 200 USD quarterly allowance and Class

Pass; * Family care benefits and caregiving support; * Subscription discounts; * Employee referral program. #J-18808-Ljbffr

📌 machine learning engineer (España)
🏢 Enfint
📍 España