Senior Newsroom AI & Machine Learning Engineer

Job Description:

Senior Newsroom AI & Machine Learning Engineer

February, 2026

The Wall Street Journal newsroom is seeking a self-propelled Machine Learning Engineer to help build the future of an AI-empowered newsroom. Reporting to the Head of Newsroom Data and AI, this individual-contributor role sits within the newsroom and works at the intersection of engineering, product, audience and journalism.

You will bring deep technical expertise in machine learning and generative AI, paired with strong product intuition and an understanding of newsroom culture and editorial standards. This role is ideal for someone who enjoys building and deploying new tools, is comfortable operating with ambiguity and is motivated by helping journalists do their best work.

You will be an evangelist for responsible, high-quality AI use—ensuring brand safety, editorial integrity and reader trust – while partnering closely with teams across engineering, product and the newsroom to design, prototype and ship AI-powered tools for both journalists and readers.

Key areas of focus include building experimental, reader-facing products that meet evolving audience needs; integrating generative AI into publishing, editing and distribution workflows; creating scalable tools that support reporting, research and newsroom operations; and identifying common needs across teams to develop flexible solutions that can be adopted broadly across the newsroom.

You will:

• Move quickly from idea to MVP, gather feedback from newsroom partners and iterate based on real-world use
• Design, prototype, build and maintain AI-powered newsroom and audience-facing tools
• Leverage LLM APIs and other AI services to solve editorial and product challenges
• Experiment with emerging technologies and assess their applicability to newsroom needs
• Work directly with journalists to understand pain points and translate them into technical solutions
• Engineer reliable prompts and system instructions; evaluate and refine outputs for accuracy, fairness and adherence to editorial standards
• Develop evaluation frameworks and quality checks to ensure outputs are production-ready
• Analyze data from experiments to identify strengths, weaknesses, and opportunities for improvement
• Write clear documentation to support adoption and long-term maintenance of tools

You have:

• 2-4 years of experience shipping production software or machine learning systems
• Experience building and deploying tools used by end users, ideally in content, media, or information-driven products
• Strong empathy for journalists and an understanding of newsroom workflows
• Experience building modern web applications using JavaScript/TypeScript and contemporary frontend frameworks (e.g., React, Next.js, or similar)
• Experience designing and consuming APIs to connect backend services with frontend applications
• Proficiency in Python, AWS, Git, and experience working with LLM APIs and modern AI tooling
• Familiarity with generative AI techniques, evaluation, and responsible deployment
• Experience working in or closely with a newsroom, media organization, or journalistic workflow is strongly preferred
• Comfortable working independently, navigating ambiguity, and delivering MVPs that can be tested and iterated on

Closing date: April 1, however we may close this vacancy early should a suitable candidate be identified

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 under applicable law. EEO/Disabled/Vets

Reasonable Accommodation

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Business Area:

Dow Jones - News - WSJ

Job Category:

Software Product Engineering

Union Status:

Non-Union roleBase Pay Range: 125,000 - 155,000

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.