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.
Responsibilities
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
Qualifications
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
Closing date April 1, however we may close this vacancy early should a suitable candidate be identified.
EEO & Reasonable Accommodation Statement 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. 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.
Pay Range Pay Range: $90,000 - $120,000.
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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.
Responsibilities
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
Qualifications
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
Closing date April 1, however we may close this vacancy early should a suitable candidate be identified.
EEO & Reasonable Accommodation Statement 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. 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.
Pay Range Pay Range: $90,000 - $120,000.
#J-18808-Ljbffr