Machine Learning Engineer, Dow Jones
Personalization
Business news & financial information publishing
Open for applications
Business news & financial information publishing
1001+ employees
Open for applications
1001+ employees
Company mission
To deliver trusted news and data to help businesses and society make decisions for a better future.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Dow Jones is a global leader in news and business intelligence, powering a range of well-respected brands, including The Wall Street Journal, Financial News, MarketWatch, and more. The company delivers its content to consumers through a range of formats, such as print, digital, mobile, and live events.
As companies seek to draw Millennials and Gen Z consumers to their platforms, adaptability is vital, since they are driving the demand for innovative tools and techniques, as the world evolves toward the digital-first era. Dow Jones has proven its ability to meet product optimization challenges with its reimagined Factiva offering that includes a list of new features, such as personalized results, an easy-to-use modern interface, and faster free-text search, all with a mobile-first design that adapts to any device.
The company has also focused on new product innovation by expanding its portfolio of capabilities and partnerships, further expanding into AI-powered personalization technologies and ongoing digital transformation. Already a powerhouse in the market, Dow Jones is well set to capitalize on future expansion and innovation opportunities.
Steph
Company Specialist at Welcome to the Jungle
Insights
3% employee growth in 12 months
Company
Company benefits
- 20 weeks of parental leave
- 4 weeks of paid caregiver leave
- Up to 4 weeks of remote work per year
- 1 paid volunteer day annually
- $700 caregiver reimbursement
- Headspace emotional wellness membership
- ClassPass fitness and wellness membership
- Financial rewards for well-being activities
Company HQ
Theater District, New York, NY
Leadership
Almar Latour
(CEO)Before becoming the CEO of Dow Jones and Publisher of The Wall Street Journal, they were the Publisher of Barron’s Group and Executive VP of Dow Jones. They were also the previous Executive Editor of The Wall Street Journal.
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