Senior Machine Learning Engineer, Search

Job Description:

Senior Machine Learning Engineer

Dow Jones Job Location: Barcelona

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.

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 AIleveraging 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.

• 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.

• 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.

• 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.

#LI-hybrid

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

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Business Area:

Dow Jones - Technology

Job Category:

Software Product Engineering

Union Status:

Non-Union role

Base Pay Range: 55000 - 70000

Were 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 candidates 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.