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Newsroom AI and Automation Engineer


Job ID: 73330
Job Views: 67
Location: New York, NY, United States
Postal Code: 10019
Job Category: Television
Employment Type: Full time
Salary:
Posted: 10.08.2025

Job Description

Hearst Television (HTV) is hiring a Newsroom AI and Automation Engineer. The ideal candidate will have a journalism background and be passionate about Generative AI technology. You’ll help develop newsroom tools and reader/viewer-facing experiences that harness generative AI and automation responsibly and creatively to improve reporting, speed up workflows, and expand our coverage of local communities. This is a full-time, in-person role based in one of our HTV markets or at our corporate offices in Washington, DC or New York City.

What You’ll Do

  • Design, build, and maintain AI-powered tools that help newsrooms produce high-quality local journalism and grow audience.
  • Develop products and features using modern LLM APIs and open-source models, including chat/assistive tools, structured-data extraction from unstructured sources, summarization, translation, and RAG (retrieval augmented generation).
  • Integrate AI into existing newsroom workflows (CMS, planning, search, video, archives), minimizing repetitive tasks and speeding newsgathering.
  • Engineer reliable prompts and system instructions; evaluate and fine tune outputs for accuracy, fairness, and clarity.
  • Set up monitoring, logging, and analytics to evaluate tool quality, latency, and adoption; iterate quickly based on newsroom feedback.
  • Partner with product, engineering, editorial, and standards/legal teams to design audience-facing features that are brand-safe and trustworthy.

Requirements

  • 2–3+ years of software development experience with strong proficiency in Python; working knowledge of Jupyter, NumPy, and pandas.
  • Demonstrated experience implementing LLMs in newsroom-facing automation; familiarity with model capabilities and limitations.
  • Experience with LLM APIs (e.g.OpenAI, Bedrock, Vertex, etc.) and modern AI frameworks (e.g., LangChain; experience with LangSmith is a plus).
  • Experience designing prompts and evaluation strategies; comfort with guardrails, content policies, and bias/quality reviews.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), serverless architectures, and containerized development/deployment (Docker).
  • Proficiency with Git/GitHub and modern development workflows.
  • Working knowledge of HTML/CSS/JavaScript and integrating services via APIs; experience with web scraping.
  • Familiarity, or willingness to meaningfully adopt, GenAI code-assisting tools (e.g. Cursor, Github Copilot).
  • Strong problem solving and project management skills; ability to prioritize multiple projects and hit deadlines.
  • Related military experience will be considered.
  • This role collaborates closely with the Hearst Television AI Integration team and station newsrooms across our network.

Diversity Statement
At Hearst Television we tell stories every day. Stories about people of all cultures, backgrounds, perspectives, and identities. That's why, behind the scenes, we believe in being an organization as diverse and varied as the audience we reach, ensuring that the content we create is more compassionate, and more representative of the communities we serve.

Benefits

Hearst's benefit programs are modern, flexible and designed to focus on you. As a Hearst employee, you and your spouse or partner or dependents would have access to the following benefits.

  • Medical | Dental | Vision
  • 401(k) matching
  • Emotional Wellness Support
  • Paid Time Off
  • Paid Parental Leave
  • LGBTQ+ Health Services
  • Additional benefits to meet your and your family's needs

Salary

The salary for this role is $95,000-$100,000. The actual base pay offered is dependent upon many factors, such as transferable skills, work experience, business needs, market demands and conditions, including geographic location where the work will be performed, and other factors permitted by law. The base pay range is subject to change and may be modified in the future.



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