Intern, Facilities AI Engineering
At a glance
Junior AI Engineering role at Micron. Fab 10N/X, Singapore · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Review facilities sensor and operational records to find equipment trends, anomalies and opportunities to optimize
- Prototype predictive-maintenance and equipment-monitoring solutions using AI or machine learning
- Build dashboards and automation workflows that support engineering decisions and improve productivity
- Make engineering knowledge easier to access through structured repositories or AI-enabled retrieval tools
- Document and present project findings, recommendations, limitations and potential value
What you bring
- You are pursuing a degree in AI, data science, computer science or another listed engineering field
- You have a foundation in AI, machine learning, data analytics or statistics
- You have programmed in Python or a similar language
- You understand databases, data processing and software-development practices
Who this fits
This suits a student interested in applying AI and analytics to facilities equipment and engineering workflows alongside facilities engineers. The internship is full-time in Singapore for five months, from January to June 2027.
From the employer
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Location
Singapore Fab 10N
Department
Facilities Engineering, Artificial Intelligence and Smart Facilities
Project Title
Fab 10N Facilities Artificial Intelligence and Workflow Transformation
Project Description
This internship provides an opportunity to explore the application of Artificial Intelligence, Machine Learning, data analytics, automation, and digital technologies within a semiconductor manufacturing facilities environment.
The project focuses on developing AI-Enabled solutions that enhance equipment reliability, predictive analytics capabilities, operational efficiency, knowledge accessibility, and engineering decision-making. The intern will gain exposure to real-world industrial datasets, engineering workflows, Artificial Intelligence technologies, and digital transformation initiatives.
Through collaboration with Facilities engineers and domain experts, the intern will learn how advanced analytics and Artificial Intelligence can be applied to solve operational challenges and create business value.
Objective of the Project
Develop AI-Enabled solutions that improve Facilities Engineering analytics and decision-making.
Apply Machine Learning and data analytics to equipment reliability, predictive maintenance, and operational data.
Explore workflow-automation opportunities that improve engineering productivity and knowledge accessibility.
Demonstrate the potential value of Artificial Intelligence within Smart Facilities initiatives.
Opportunities for Full Time Employment
High-performing interns who demonstrate strong technical capability, learning agility, and successful project outcomes may be considered for future internship or full-time employment opportunities.
Project Scope
Analyse operational and sensor data to identify equipment trends, anomalies, and optimization opportunities.
Develop Artificial Intelligence or Machine Learning prototypes for predictive maintenance and equipment monitoring.
Create dashboards, visualization tools, or automation workflows that improve engineering decision-making.
Explore AI-Enabled knowledge-management solutions that improve information accessibility and reuse.
Learning Opportunities
Explore Artificial Intelligence and Machine Learning techniques for facilities equipment reliability and predictive maintenance.
Learn how industrial data is collected, structured, governed, and used in Artificial Intelligence applications.
Apply software-engineering principles to develop AI-Enabled tools, dashboards, and automation solutions.
Gain exposure to Smart Facilities initiatives, including predictive analytics, robotics, and automation frameworks.
Develop experience in Artificial Intelligence solution evaluation, validation, and continuous improvement.
Deliverables
Artificial Intelligence prototypes or proof-of-concept solutions addressing selected facilities engineering challenges.
Data analytics dashboards that provide actionable engineering insights.
Predictive models or anomaly-detection solutions for facilities equipment monitoring.
Structured knowledge repository or AI-Enabled knowledge-retrieval solution.
Final documentation and presentation summarising the findings, recommendations, limitations, and potential business value.
Impact of the Project
Improve visibility into facilities equipment performance and reliability.
Enable earlier identification of equipment anomalies and potential performance issues.
Enhance engineering decision-making through analytics, dashboards, and AI-Enabled insights.
Demonstrate opportunities to improve Facilities Engineering workflows and knowledge accessibility through digital transformation.
Skillsets Required
Basic understanding of Artificial Intelligence, Machine Learning, data analytics, or statistical concepts.
Programming experience in Python, Structured Query Language, or similar languages.
Familiarity with data visualization tools such as Power BI, Tableau, or equivalent platforms.
Understanding of databases, data processing, and software-development principles.
Curiosity to learn emerging technologies, with familiarity in Generative AI, AI Assistants, or AI-Enabled workflows considered advantageous.
Course of Interest
The ideal candidate should be pursuing a Degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, or a related field.
Duration of Period
The ideal candidate should be able to commit to a full time internship period of 5 months from Jan to Jun 2027.
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.