Senior Machine Learning Engineer, Search
Dow Jones Open · verified Oct 22, 2026 At a glance
Senior Machine Learning Engineering role at Dow Jones. Barcelona · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run search services that help readers discover content across digital products
- Improve personalization models from candidate generation through final ranking
- Use embeddings, two-tower designs and user or content signals to strengthen retrieval
- Run A/B experiments, then use the results to refine models and features
- Apply LLMs to content understanding and feature extraction while improving system speed and scale
What you bring
- Two to four years applying machine learning, especially to search, recommendations, ranking or personalization
- Strong Python skills for production machine learning systems
- Experience measuring model impact through A/B tests and experimentation frameworks
- A relevant degree or equivalent work experience, plus familiarity with cloud, containers and SQL or NoSQL databases
Who this fits
This senior role suits an engineer focused on machine learning for search, ranking or personalization, with strong production Python skills. It is a hybrid position based in Barcelona.
From the employer
Job Description:
About the Team:
Our Technology team drives the evolution of our Engineering, Data, Product and User Experience functions. With a keen focus on delivering cutting-edge solutions, we shape the digital landscape for our customers, readers and users. From revolutionizing visuals to optimizing tools and harnessing the power of data, mobile, video and social platforms, our team is committed to providing a seamless and immersive experience across all touchpoints. Collaborating closely with our newsrooms and strategic partners, we spearhead the development of groundbreaking products and technologies.
About the Role:
We are looking for a Senior Machine Learning Engineer to join our Search 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 search indexing, retrieval and ranking systems that serve 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.
You Will:
Design, build, and operate search 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.
You Have:
2-4 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.
Our Benefits
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) and one week of remote work per quarter
Meal benefit with Pluxee (171€/month on top of your salary)
Retirement Plans (Dow Jones will pay 2% of a members Pensionable Salary and match employee contribution up to a maximum of 3 %).
Live insurance
Well-being Resources (185€ allowance per quarter, Classpass, Spring Health, etc.)
Family Care Benefits & Caregiving Support
Hone and Linkedin learning courses for your further development
Employee Referral Program
Learn more about us and our benefits click here.
This is a hybrid position, based in Barcelona
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 strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.
Reasonable Accommodation
We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at talentresourceteam@dowjones.com. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.
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Business Area:
Dow Jones - Technology
Job Category:
Software Product Engineering
Union Status:
Non-Union role
Base Pay Range: 55,000 € - 70,000 €
We’re committed to offering competitive and flexible compensation to attract top talent. This pay range reflects our good faith estimate for the role and may vary based on a candidate’s experience, skills, location, and other relevant factors.
For bonus-eligible roles, targets are determined based on multiple considerations, including market benchmarks and individual contributions.
For benefits-eligible roles, we offer a comprehensive and competitive benefits package covering health, retirement, wellbeing, and more, along with optional benefits to meet the diverse needs of our employees.