Senior Machine Learning Engineer, Search
Un Ingeniero de Machine Learning Sénior diseñará y construirá sistemas escalables de búsqueda y ranking.
El portal de empleo de España
Más de 91.000 ofertas activasPresencial en Barcelona·Añadida hoy (comprobada el 21 oct)
28 ofertas abiertas
Esta oferta está publicada en inglés.
Our Technology team drives the evolution of our Engineering, Data, Product and User
Experience functions. Within this group, the GenAI Experiences team builds generative AI
products that define the future of news and business intelligence for millions of users across the
Wall Street Journal and Dow Jones brands. Through our Co-Engineering model, we develop
production-grade AI capabilities - including summarization, conversational AI, and deep
research experiences - in close partnership with Product, Newsrooms, and platform teams.
Collaborating across disciplines, we spearhead the development of groundbreaking AI-powered
products and technologies.
Dow Jones is seeking a Senior Software Engineer to join our GenAI Experiences team in
Barcelona. In this role, you will take end-to-end technical ownership of complex features
and systems, driving delivery with limited supervision and serving as a key technical
contributor on the team. You will partner closely with data scientists, ML engineers, product
managers, and peer engineering leads to design and ship reliable, scalable AI-powered
products.
This is an individual contributor role for an engineer who is ready to lead technically on
large-scope projects, influence engineering direction, and mentor colleagues - while
remaining deeply hands-on in design, implementation, and production operations.
● Design, build, and own end-to-end delivery of AI-powered features across the GenAI
Experiences platform - from backend APIs and data layers to user-facing
integrations.
● Partner with product managers, data scientists, and engineering leads to translate
business requirements into reliable technical solutions, and surfacing risks and
tradeoffs.
● Integrate internal and third-party LLM and AI APIs to extend system functionality
and deliver new product capabilities.
● Develop tools and frameworks for prompt management, automated evaluations, and
observability.
● Improve team processes - code quality standards, testing practices, observability,
and CI/CD pipelines.
● Monitor and improve production AI systems for reliability, performance, and quality
- troubleshooting issues across the full stack.
● Integrate third-party AI APIs (internal and external) to extend the functionality of
systems.
● Participate in code reviews, apply MLOps best practices, and contribute to team
standards for model versioning, experiment tracking, and CI/CD.
● Stay updated on developments in fullstack engineering for GenAI and IR
technologies, incorporating best practices and leveraging cloud infrastructure for
efficiency.
● Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.
● 3-5 years of industry software engineering experience building and operating
production systems.
● Strong Python skills and experience building scalable backend services and REST or
GraphQL APIs.
● Experience with cloud-based infrastructure and services (e.g., AWS and GCP),
Docker, and the Git version control system
● Exposure to deploying and monitoring machine learning models or generative AI
systems in production environments, including automated evaluation pipelines.
● Familiarity with LangChain, LangGraph, LangSmith, or equivalent
agentic/orchestration frameworks.
● Exposure to MLOps tooling - model deployment, monitoring, experiment tracking,
evaluation pipelines - is a strong plus.
● SQL proficiency and experience with data pipeline tooling (Airflow or equivalent).
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) or 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 %).
Comprehensive Insurance Plans
Well-being Resources (200 USD allowance per quarter, Classpass, etc.)
Family Care Benefits & Caregiving Support
Subscription Discounts
Employee Referral Program (2,500 USD for referring a talent)
Learn more about us and our benefits click here .
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.
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.
Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.
Base Pay Range: 45,000 € - 65,000 €
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.
Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world's largest newsgathering operations globally.
It is home to leading publications and products including the flagship Wall Street Journal, America's largest newspaper by paid circulation; Barron's, MarketWatch, Mansion Global, Financial News, Dow Jones Risk & Compliance and Dow Jones Newswires. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).
Req ID: 55630
Dow Jones es un proveedor global de noticias e información empresarial, conocido principalmente por The Wall Street Journal, Barron's, MarketWatch y servicios de información profesional como Factiva y Dow Jones Risk & Compliance. Fundada en 1882, la empresa atiende a clientes financieros, corporativos y de medios en todo el mundo, con un fuerte enfoque en el periodismo basado en datos, el análisis financiero y las soluciones de gestión de riesgos. Con una plantilla de varios miles de empleados, Dow Jones opera en los principales centros financieros del mundo, ofreciendo noticias y datos críticos a profesionales y consumidores.
En España, Dow Jones tiene una presencia significativa, especialmente en Barcelona, donde cuenta con una importante oficina centrada en funciones editoriales, de datos y tecnología. Las operaciones de la empresa en España son fundamentales para sus servicios globales de datos de riesgo y cumplimiento, así como para los equipos de producto e ingeniería. Para los profesionales internacionales, Dow Jones ofrece un entorno de trabajo multicultural, oportunidades para trabajar en productos globales y un fuerte énfasis en la innovación y la precisión de los datos. La oficina de Barcelona forma parte de una red global, proporcionando un entorno dinámico para el crecimiento profesional en una empresa líder en medios e información.