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Enterprise AI Intern

Taiwan, Taipei · Job Posted March 21, 2026
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Job Description

As an AMD intern, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real-world experience on projects that impact millions of end-users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Job Responsibility

  • Work with the cross-function teams to design, prototype, and implement AI‑driven solutions addressing real business needs
  • Develop and refine machine learning or generative AI models for internal productivity tools, automation workflows, and enterprise applications
  • Analyze data, perform feature engineering, and evaluate model performance to ensure solutions meet quality and reliability standards
  • Assist in creating proof‑of‑concept demos, internal tools, or AI accelerators that improve engineering and operational efficiency
  • Collaborate with senior engineers and domain experts to understand use cases, gather requirements, and recommend AI approaches
  • Document technical designs, model workflows, and best practices to support knowledge sharing within the team

Requirements

  • Current BS/MS student from Taiwan based university, in Information Management, Computer Science, or a related technical field
  • Strong interest in AI, machine learning, generative AI, and applied AI development
  • Experience with AI projects—academic, personal, or internship-based—is highly preferred
  • Familiarity with Python, machine learning frameworks (e.g., PyTorch, TensorFlow, scikit‑learn), or LLM‑related tools is a plus
  • Ability to think creatively and problem‑solve in ambiguous, real‑world enterprise scenarios
  • Strong communication skills and the ability to collaborate effectively with cross‑functional teams
  • Self‑motivated, eager to learn, and comfortable exploring new technologies

Nice to have

Familiarity with Python, machine learning frameworks (e.g., PyTorch, TensorFlow, scikit‑learn), or LLM‑related tools is a plus

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