Machine Learning Engineer In Search

Dow Jones
Barcelona, Spain
12 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience required
2 years minimum
Compensation
€55,000 - €70,000
Working hours
Regular working hours

Tech stack

A/B Testing Amazon Web Services Microsoft Azure Software Code Optimization Continuous Integration Python (Programming Language) Machine Learning NoSQL Recommender Systems SQL Databases Large Language Models Containerization
+4 more
Information Technology Low Latency Machine Learning Operations Feature Extraction

Job description

????????: Dow Jones is a global provider of news and business information, delivering content to consumers and organizations worldwide through print, digital, mobile, and live events.Its portfolio includes leading publications and products such as The Wall Street Journal, Barron’s, MarketWatch, and Dow Jones Newswires.??????Design, build, and operate search systems and services powering content discovery and user engagementDevelop and improve ML models across the personalization stack, from candidate generation to final rankingImprove candidate retrieval using embeddings, two-tower architectures, and user and content signalsDrive experimentation and A/B testing to measure impact and iterate on models and featuresLeverage LLMs to enhance content understanding and feature extractionOptimize systems for performance, latency, and scalability across high-traffic environmentsContribute to engineering best practices, including testing, observability, and CI/CDCollaborate with product managers, data scientists, and analysts to translate business needs into scalable technical solutions??????????2-4 Years of industry experience applying machine learning methods, focused on recommender systems, search, ranking, or personalizationStrong proficiency in Python for production ML systemsExperience with A/B testing and experimentation frameworksFamiliarity with AWS, GCP, or Azure and containerized environmentsFamiliarity with SQL and NoSQL databasesDegree in computer science, machine learning, statistics, or equivalent work experience???????Comprehensive healthcare plans for the employee and family, paid by Dow Jones30 Days of paid holidays per yearPossibility to work remotely for 3 months per year and one week remotely per quarterMeal benefit of 171€/month on top of salaryDow Jones contributes 2% of pensionable salary and matches employee contributions up to 3%Life insuranceWell-being allowance of 185€ per quarter, ClassPass, Spring Health, and other resourcesFamily care benefits and caregiving supportHone and LinkedIn Learning coursesEmployee referral programBase pay range: 55,000 € - 70,000 €Non-Union role#J-*****-Ljbffr

Requirements

2-4 Years of industry experience applying machine learning methods, focused on recommender systems, search, ranking, or personalization Strong proficiency in Python for production ML systems Experience with A/B testing and experimentation frameworks Familiarity with AWS, GCP, or Azure and containerized environments Familiarity with SQL and NoSQL databases Degree in computer science, machine learning, statistics, or equivalent work experience

Benefits & conditions

Comprehensive healthcare plans for the employee and family, paid by Dow Jones 30 Days of paid holidays per year Possibility to work remotely for 3 months per year and one week remotely per quarter Meal benefit of 171€/month on top of salary Dow Jones contributes 2% of pensionable salary and matches employee contributions up to 3% Life insurance Well-being allowance of 185€ per quarter, ClassPass, Spring Health, and other resources Family care benefits and caregiving support Hone and LinkedIn Learning courses Employee referral program Base pay range: 55,000 € - 70,000 € Non-Union role #J-*****-Ljbffr

About the company

????????: Dow Jones is a global provider of news and business information, delivering content to consumers and organizations worldwide through print, digital, mobile, and live events. Its portfolio includes leading publications and products such as The Wall Street Journal, Barron’s, MarketWatch, and Dow Jones Newswires.

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