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

GLOBALFOUNDRIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 17,000 - 22,000; Full time

Job summary

GlobalFoundries is seeking a Machine Learning Intern for the Digital Manufacturing group in Singapore. You will develop and deploy AI/ML solutions, analyze manufacturing data for features and predictive models, and collaborate with data scientists and business stakeholders on AI-driven projects.

The role emphasizes learning modern AI/ML technologies, software practices, and MLOps concepts while contributing to a hands-on internship experience in a fast-paced semiconductor environment.

Qualifications

• Actively pursuing a Bachelor’s in Computer Science, Data Science, Engineering, or related quantitative field.
• 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.
• Must be available for 16–24 week internship commencing January 2027.
• Must be able to commit to at least 40 hours per week.

Responsibilities

• Support the AI Integration Team in developing and deploying AI/ML models.
• Analyze manufacturing data to develop features, insights, and predictive models.
• Work with complex data for feature development using AI/ML models.
• Collaborate with Digital Manufacturing MLEs, data scientists, and stakeholders on AI projects.
• Learn and apply modern AI/ML technologies, software engineering practices, and MLOps concepts.

Skills

Python

Data science libraries

ML concepts

PyTorch

Scikit-Learn

Team collaboration

Independent work

Prior internship/co-op

Generative AI exposure

MLOps/CI-CD

Education

Bachelor’s degree in Computer Science / Data Science / Engineering

Tools

PyTorch

Scikit-Learn

Job description

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 www.gf.com.

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

• 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 internship commencing January 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.

#InternshipProgramSGP #InternshipProgram

GlobalFoundries is an equal opportunity employer

We believe having a multicultural workplace enhances productivity, efficiency, and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.

No Recruitment Fee Policy

GlobalFoundries is committed to ethical and transparent hiring practices. Candidates will not be charged any fees at any stage of the recruitment process. Any request for payment related to a GlobalFoundries employment opportunity is unauthorized and should be reported immediately. All legitimate recruitment communications are conducted exclusively through official GlobalFoundries channels. To report concerns or suspected recruitment fraud, please contact our Ethics & Compliance Office at [e-mail] or visit our official website. The Ethics & Compliance mailbox is not a recruitment channel. CVs/resumes submitted to this mailbox will not be reviewed, processed, or considered for employment opportunities. Please apply through the official GlobalFoundries careers site only.

Information about our benefits you can find here: https://gf.com/about-us/careers/opportunities-asia

We shape what's essential

At GlobalFoundries you will find a vibrant work environment where collaboration and innovation thrive. Our diverse and global team shares a culture of respect and inclusivity, representing the best in the industry. We celebrate success together and are united by our dedication to excellence and our desire to improve and empower the world.