AI Research Engineer Intern: Build Real-World AI Tools

IBM; Town of Yorktown (NY); On-site; USD 89,000 - 164,000; Full time

Job summary

IBM Research in Yorktown Heights, NY is seeking a Research AI Engineer Intern to join our team and help build, test, and deploy real-world AI applications. You will work with AI researchers, engineers, and product managers to translate cutting-edge techniques into enterprise-ready solutions and contribute to AI tooling and platforms.

This internship is ideal for MS/PhD students passionate about LLMs, multimodal models, and applied machine learning—providing hands-on experience creating AI-driven

Qualifications

• Currently pursuing an MS/PhD in Computer Science, Engineering, or related field.
• Strong programming skills in Python.
• Familiarity with machine learning fundamentals, natural language processing and generative AI.
• Strong problem-solving mindset and ability to work in a collaborative team environment.

Responsibilities

• Collaborate with AI researchers and engineers to design, prototype, and implement AI solutions.
• Work with large language models (LLMs), multimodal models, and agentic frameworks to solve real-world use cases.
• Design, build, and maintain AI agent frameworks and platforms that enable scalable orchestration, tool integration, and autonomous task execution across enterprise and user-facing applications.
• Develop experimental demos, proof-of-concepts, and integrations that showcase the value of AI.
• Stay current with recent AI research and propose ways to bring new methods into practical applications.

Skills

Python

ML fundamentals

NLP

Generative AI

Team collaboration

Education

Bachelor's Degree

Master's Degree

Job description

IBM Research in Yorktown Heights, NY is seeking a Research AI Engineer Intern to join our team and help build, test, and deploy real-world AI applications. You will work with AI researchers, engineers, and product managers to translate cutting-edge techniques into enterprise-ready solutions and contribute to AI tooling and platforms.

This internship is ideal for MS/PhD students passionate about LLMs, multimodal models, and applied machine learning—providing hands-on experience creating AI-driven