Overview
This internship is part of Seagate’s Global Factory Information Technologies (GFIT) team, where digital solutions power smart manufacturing worldwide. You’ll work on real Generative AI applications that support factory operations, automation, and decision-making. The role offers hands-on exposure to how GenAI moves from experimentation into real industrial systems.
What You'll Get Out of This Internship
- Practical experience applying Generative AI in a real manufacturing environment
- Mentorship from data scientists and engineers working on smart factory systems
- Exposure to AI-driven automation, predictive insights, and digital assistants
- Opportunities to prototype tools with real operational impact
- Strong portfolio experience in applied AI and GenAI use cases
Key Responsibilities
- Prototype Generative AI models tailored to manufacturing and factory workflows
- Build AI tools that automate reporting, explain anomalies, and support simulations
- Test GenAI solutions using real operational and factory data
- Integrate AI models with existing factory systems and data pipelines
- Collaborate with engineers to turn AI concepts into usable tools
- Evaluate model outputs to improve reliability and usefulness in production
- Document experiments and present findings to technical stakeholders
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in computer science or computer engineering
- Comfortable programming in Python
- Basic understanding of machine learning and deep learning concepts
- Familiarity with natural language processing or Generative AI frameworks
- Curious mindset and strong willingness to learn
- Able to work independently while contributing to a team
Who This Internship Is Ideal For
This internship is ideal for students excited about Generative AI who want to apply cutting-edge models to real-world industrial and manufacturing challenges.
About the Company
Seagate is a global technology company specializing in data storage and data management solutions. With manufacturing and engineering teams across the world, the company focuses on innovation, reliability, and advanced digital transformation. Its Singapore operations play a key role in smart factory and Industry 4.0 initiatives.
Internship Details
Location: Woodlands, Singapore
Duration: To be confirmed
Commitment: Full-time
Working Arrangement (Onsite/Hybrid/Remote): Onsite
Stipend (if provided): Not specified
Application Deadline: Not specified