Research AI Engineer Intern 2027
IBM
Posted 15 Nov 2026, 08:52 ET · Verified open on LinkedIn 15 Nov, 09:51 ET
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Product managementMachine learningLLMsPythonNLP
- Work
- On-site in Yorktown Heights · internship
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning68%Python67%LLMs49%Product management13%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 15, 2026 · still open
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About the Role
At IBM Research, we are the innovation engine of IBM, shaping the technologies the world will rely on tomorrow. We accelerate discovery at the intersection of high-performance computing, AI, quantum, and cloud, collaborating with leading scientists and engineers.
Your Role and Responsibilities
We are seeking a highly motivated Research AI Engineer Intern to help build, test, and deploy real-world applications of AI. You will work closely with engineers, researchers, and product managers to translate cutting-edge AI techniques into practical solutions for enterprise and user-facing applications, and contribute to the development of AI tools and platforms. This internship is ideal for MS/PhD students passionate about LLMs, generative AI, and applied machine learning, seeking hands-on experience creating AI-driven tools, workflows, and prototypes.
- 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.
What You’ll Gain
- Hands-on experience working with state-of-the-art AI models and systems.
- Mentorship from experienced engineers and researchers.
- Opportunity to build portfolio-worthy AI applications and demos.
- Exposure to enterprise-scale AI development and deployment practices.
Requirements & Tech Stack
- Currently pursuing a degree in Computer Science, Engineering, or related field (MS/PhD).
- 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.
Preferred Technical and Professional Experience
- Understanding of MLOps concepts (model deployment, monitoring, scaling).
- Prior experience with open-source contributions, research projects, or hackathons related to AI.