Overview
Join Seagate’s Global Factory Information Technologies (GFIT) team, where digital transformation and smart manufacturing intersect. As an AI Intern, you’ll help explore next-generation Generative AI applications that enhance automation, decision-making, and operational intelligence across Seagate’s global factories. Guided by experienced data scientists and engineers, you’ll work on real industrial challenges with real impact.
What You'll Get Out of This Internship
- Hands-on experience applying GenAI to real manufacturing use cases
- Exposure to smart factory systems, digital twins, and automation workflows
- Mentorship from industry practitioners in AI, data engineering, and applied ML
- A strong portfolio showcasing AI prototypes, models, and proof-of-concept tools
- Insight into how global manufacturing operations integrate AI at scale
Key Responsibilities
- Prototype and test Generative AI models tailored to manufacturing and factory intelligence
- Build AI-driven tools that automate reporting, summarize insights, or explain anomalies
- Support development of digital-twin simulation features powered by GenAI
- Integrate AI solutions into existing factory systems and workflows
- Assist in evaluating model performance, refining prompts, and improving reliability
- Collaborate with cross-functional teams to understand operational constraints and translate them into AI use cases
Requirements
- Currently pursuing a degree in Computer Science, Computer Engineering, or similar fields
- Strong Python skills and familiarity with GenAI frameworks
- Basic knowledge of machine learning, deep learning, or NLP concepts
- Curious, self-motivated, and comfortable exploring new AI tools
- Able to work both independently and in a collaborative engineering environment
Who This Internship Is Ideal For
This role suits students who love experimenting with AI technologies and want to see how GenAI transforms real-world industrial systems.
About the Company
Seagate Technology is a global leader in data storage solutions, powering cloud infrastructure, edge devices, and enterprise systems worldwide. The company is known for pioneering digital innovation in manufacturing and driving advancements in smart factory technologies through automation, analytics, and AI-enabled operations.
Internship Details
Location: Woodlands, Singapore (W3)
Duration: To be specified by employer
Commitment: Full-time during internship period
Working Arrangement: Onsite
Stipend: Not disclosed
Application Deadline: Open until filled
