About the Role

Dow Jones is seeking a skilled Senior Machine Learning Engineer to join our AI Engineering Team, reporting to the ML Engineering Manager. You will be responsible for designing, building, and maintaining generative AI experiences (summarization, conversational AI, deep research) that define the future of news (like The Wall Street Journal) for millions of users.

As a key team member, you will play a crucial role in operationalizing machine learning solutions to meet our organization's needs and deliver tangible value. You will leverage your strong software engineering skills to develop robust, secure, and scalable production systems.

You Will

• Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.

• Implement optimized vector storage and indexing systems for NLP.

• Develop tools and frameworks for prompt management, automated evaluations, and observability.

• Monitor and improve agentic systems performance for accuracy and efficiency.

• Provide ongoing support, troubleshoot issues, and implement updates for ML solutions

• Build and maintain data processing pipelines for high volumes of structured and unstructured data.

• Integrate third-party AI APIs (internal and external) to extend the functionality of systems.

• Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.

• Build and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and agent orchestration across the team.

You Have

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.

• 4+ years of industrial experience in a machine learning engineering or data engineering role.

• Strong programming skills in Python and/or another high-level language commonly used in machine learning.

• Familiarity with cloud-based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system

• Experience deploying LLMs, implementing automated evaluation pipelines (LLM-as-a-judge), and architecting multi-agent systems that utilize tool-calling and long-term memory to solve non-linear problems.

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) 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

#LI-Hybrid

This is a hybrid remote/in-office role, based in Barcelona.

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. EEO/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. Dow Jones is 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, 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.

Non-Union role

Req ID: 50946