AI​/ML Engineer Intern

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation.

With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

IBM Automation and AI group is seeking an AI/ML Engineer intern specializing in machine learning and Large Language Models (LLMs) to join our AI/ML Center of Excellence team at the IBM Silicon Valley Lab location. In this role, you will collaborate with cross-functional product teams to implement cutting-edge AI/ML capabilities across IBM's Automation product portfolio. You will lead efforts in data collection for LLM training and evaluation, integrate LLM technologies into existing and new products, and establish best practices for AI/ML feature implementation with product teams.

What You’ll Do

• Data Collection and Management for LLM Evaluation and Training LLM Integration and Implementation

AI/ML Best Practices and Innovation

Program Dates: Internship start dates vary based on your academic calendar.

Semester System: May 24, 2027 – August 13, 2027

Candidates must be available to participate for the full duration of the internship corresponding to their academic schedule.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

(Guidelines — transferable skills are encouraged)

• Pending Bachelor's or master's degree or higher in Computer Science, Machine Learning, AI, orrelated technical field
• Demonstrated knowledge of NLP and large language models including model evaluation and algorithm design.
• Strong programming skills in Python and familiarity with ML frameworks (PyTorch, Tensor Flow,or JAX).
• Experience with data processing pipelines and working with large datasets.
• Knowledge of MLOps practices and tools for model deployment and monitoring.

• Experience with fine-tuning and prompt engineering for LLMs.
• Deep understanding of transformer architectures and attention mechanisms.
• Proficiency in vector databases and embedding technologies.
• Knowledge of model serving frameworks (TensorRT, ONNX, Torch Serve).

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it.

In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides,…