Intern – ML/AI Engineer (Product Engineering, STPG)

1100 Micron SemiAsiaOP Pte Ltd; Singapore; On-site; SGD 16,740 - 27,900; Full time

Benefits offered by this job

Mentorship by Product Engineers

Portfolio-ready AI/ML projects

Exposure to CDS training pathways

Job summary

1100 Micron SemiAsiaOP Pte Ltd in Singapore is seeking interns for their AI and Engineering Automation division. The internship will focus on machine learning development, data engineering, and innovation projects in semiconductor manufacturing.

Interns will assist in building predictive models, develop automation agents, and collaborate with cross-functional teams while gaining exposure to real-world engineering challenges and mentorship from experienced professionals.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical/Electronic Engineering, Data Science / Analytics or related technical field.

Responsibilities

• Assist in building predictive models for yield and manufacturing datasets.
• Help develop AI agents for automation tasks.
• Participate in data cleaning and transformation of semiconductor datasets.
• Identify areas where AI can improve engineering productivity.
• Work with senior engineers and CDS mentors.

Skills

Basic Python knowledge (Pandas, NumPy, Scikit‑learn)

Familiarity with ML concepts for structured data

Interest in AI agents, LLMs, or workflow automation

Education

Pursing a Bachelor’s or Master’s in relevant fields

Tools

TensorFlow

PyTorch

Job description

What You Will Learn & Do

1. Machine Learning Development
   • Assist in building predictive models for yield, reliability, and test‑time optimization using structured/tabular data.
   • Explore ML techniques (regression, tree‑based models, boosting algorithms) to extract insights from probe, wafer, and manufacturing datasets.
   • Support model evaluation, validation, and feature engineering workflows.
2. Agentic AI & Engineering Automation
   • Help develop AI agents that automate engineering tasks such as report generation, data processing, anomaly detection, or test program checks.
   • Learn how agents interact with enterprise tools (e.g., JIRA, Confluence, SharePoint) and engineering platforms.
3. Data Engineering & Integration
   • Participate in data cleaning, transformation, and structuring of high‑volume semiconductor datasets.
   • Work with cross‑functional teams to understand data sources and how they feed into ML/AI pipelines.
4. Innovation & Projects
   • Identify potential areas where AI can improve test efficiency, yield, or engineering productivity.
   • Contribute to internal prototypes, demos, and best‑practice documentation.
   • Opportunities to support technical papers or innovation submissions where applicable.
5. Exposure to Citizen Data Scientist (CDS) Enablement
   • Work with senior engineers and CDS mentors to learn how AI knowledge is transferred within Product Engineering.
   • Participate in training sessions, bootcamps, or hands‑on CDS learning exercises.

Who We’re Looking For

Education – Pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical/Electronic Engineering, Data Science / Analytics or related technical field.

Core Skills (Good to Have)

• Basic Python knowledge (Pandas, NumPy, Scikit‑learn).
• Familiarity with ML concepts for structured data (regression, decision trees, feature engineering).
• Interest in AI agents, LLMs, or workflow automation.

Bonus Skills (Nice‑to‑Have Exposure)

• Experience with TensorFlow/PyTorch for image/text/log data.
• Awareness of agentic AI frameworks (LangChain, Copilot Studio).
• Understanding of MLOps concepts (model lifecycle, deployment).
• Interest in cloud AI (Azure, AWS).
• Prior coursework or projects in ML, data engineering, or automation.

Soft Skills

• Curiosity and willingness to learn.
• Strong analytical thinking.
• Good communication and comfort working with engineering teams.

Why This Internship Is Valuable

• Be part of real semiconductor engineering and manufacturing analytics.
• Build portfolio‑ready AI/ML projects with meaningful operational impact.
• Get mentored by experienced Product Engineers and AI specialists.
• Gain exposure to CDS training pathways – a unique opportunity to grow into full‑time PE or CDS roles.
• Contribute to innovation, automation, and next‑generation engineering workflows.

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.