Machine Learning & Generative AI Intern (Jan-Jun 2027)

About GlobalFoundries

GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit .

Internship Program Overview:

Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Our goal is to provide students with meaningful work experience that will equip them with the skills to embark on a career in the fast-paced and growing semiconductor industry after graduation. As an intern at GF, you'll experience one-on-one mentorship, work assignments that prioritize your growth and potential, professional development opportunities, and the chance to network with executives.

Summary of Role:

As a Machine Learning Intern for Digital Manufacturing, you will be joining the Digital Manufacturing Group and get hands on experience developing and deploying AI, machine learning, and Generative AI solutions within the AI Integration Team. You will help support best practices for analytics use case development, deployment, scaling, and maintenance of AI/ML projects.

Essential Responsibilities include:

Support the AI Integration Team in developing and deploying AI/ML models.

Analyse manufacturing data to develop features, insights, and predictive models.

Work with highly complex data for feature development using AI/ML models.

Collaborate with Digital Manufacturing MLEs, data scientists, and business stakeholders on AI-driven projects.

Learn and apply modern AI/ML technologies, software engineering practices, and MLOps concepts.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs .

Required Qualifications:

Education -Actively pursuing a Bachelor's in in Computer Science, Data Science, Engineering, or a related quantitative discipline.

Familiarity with Python and common data science libraries.

Basic understanding of machine learning concepts and model development.

Exposure to AI/ML frameworks such as PyTorch, and Scikit-Learn.

Ability to work independently and collaboratively in a team environment.

Must be in good academic standing.

Ability to work at least 40 hours per week during the internship.

Available for a 16- 24 week credit-bearing internshipcommencingJanuary 2027.

Preferred Qualifications:

Prior related internship or co-op experience.

Exposure to Generative AI, LLMs, LangChain, RAG, or AI agents.

Exposure to MLOps, CI/CD, cloud platforms (AWS/Azure/GCP).

Exposure to semiconductor or manufacturing processes.

.Please indicate your internship period clearly in your CV / resume / cover letter.

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