AI/LLM Research Intern

Times Media; United States; Hybride; USD 24 000 - 42 000; Plein temps

Résumé du poste

Times Media seeks a student in computer science to explore and prototype AI tools for newsroom and content production. You will test language models, AI platforms, and development frameworks to assess capabilities and fit for newsroom use cases.

You will compare models on accuracy, quality, speed, and cost, and prototype prompt strategies, chatbot interactions, and retrieval-augmented systems. Documentation will translate findings for product and editorial teams.

Qualifications

• Currently enrolled in a B.Tech, B.E., or degree program in Computer Science, IT, AI/ML, or related discipline.
• Proficiency in Python is required.
• Experience with REST APIs or API-driven workflows is expected.
• Aptitude for structured research, logical analysis, and breaking down complex problems.
• Genuine curiosity and willingness to explore unfamiliar tools and techniques.

Responsabilités

• Hands-on testing of cutting-edge AI tools in a real media environment.
• Performance benchmarking across multiple LLM providers and open-source options.
• Documentation that translates technical findings into actionable insights for product and editorial teams.
• Iterative refinement of prompts and system architectures based on observed results.

Connaissances

Python

REST APIs

Research skills

Analytical thinking

Curiosity

Formation

B.Tech/B.E. or CS/AI/ML degree program

Outils

OpenAI

Gemini

Claude

Hugging Face

LangChain

Description du poste

About the role:

• Investigate new language models, AI platforms, and development frameworks to assess their capabilities and fit for newsroom and content production use cases.
• Compare different models on metrics including accuracy, output quality, processing speed, and operational cost to inform tool selection decisions.
• Prototype prompt strategies, chatbot interactions, multi-step agent workflows, and retrieval-augmented generation systems to understand their strengths and limitations.
• Create working versions of experimental systems and write up what you learn so the team can build on your findings.

What you'll work on:

• Hands-on testing of cutting-edge AI tools in a real media environment.
• Performance benchmarking across multiple LLM providers and open-source options.
• Documentation that translates technical findings into actionable insights for product and editorial teams.
• Iterative refinement of prompts and system architectures based on observed results.

What we're looking for:

• Currently enrolled in a B.Tech, B.E., or degree program in Computer Science, IT, AI/ML, or related discipline.
• Working proficiency in Python.
• Ability to work with REST APIs.
• Aptitude for structured research, logical analysis, and breaking down complex problems.
• Genuine curiosity and willingness to dive into unfamiliar tools and techniques.

Bonus experience:

• Prior work with OpenAI, Gemini, Claude, Hugging Face, or LangChain.