Role overview
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.
What you'll work on
- 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
What we're looking for
- At least 2 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
Tags & focus areas
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