About the Role
The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We're seeking a creative and motivated Engineering Intern to help prototype and validate AI product concepts that could evolve into production-ready solutions. You'll work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to help invent the next generation of responsible AI products at The Times.
About Our Program
- Duration: 10 weeks, starting June 1, 2026.
- Compensation: $40.00 per hour.
- Hours: 35 hours per week.
- Location: Hybrid, based in New York.
Responsibilities:
- Generate prototypes of AI-powered experiences to help readers understand and navigate our journalism, amplifying our human expertise and journalistic excellence.
- Design, build, and iterate on prototypes from concept through evaluation, capturing learnings and de-risking for potential production handoff.
- Implement workflow orchestration and back-end services to support data processing, evaluation, and integrations with demo UIs and newsroom systems.
- Contribute to responsible AI practices, including privacy, bias, safety, and transparency considerations in prototypes and experiments.
- Participate in demos, design critiques, and research shares, connecting explorations to NAPP's platform strategy and product bets.
- Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.
Basic Qualifications:
- A portfolio of school, personal, or professional projects relevant to AI products or platforms, demonstrating curiosity, rigor, and the ability to ship prototypes.
- Solid grasp of web development and deploying apps to the cloud; familiarity with API design and observability for prototype services.
Preferred Qualifications:
- Hands-on experience using LLMs in applications (prompting, function calling, evaluation, guardrails) or with workflow orchestration and back-end services for data processing applications.
- Experience with content retrieval or RAG pipelines.
- Experience with evaluation harnesses for LLM applications (e.g., unit tests for prompts, rubric-based scoring, golden datasets).
- Interest in journalism and building innovative, responsible AI experiences for readers.
- Enthusiasm for The New York Times and its products and experiences.
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