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Engineering Intern

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Onsite

Engineering Intern

MediaTek

Engineering Intern

Skills

PyTorchTensorFlowMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Taipei, Taiwan

Work mode:

Onsite

Published on:

14 August 2026

What they need


Do you want to be part of a smart and passionate team of researchers, advancing artificial intelligence to the next level of end-user experience in their daily lives? MediaTek Research Taiwan is seeking driven and brilliant young students to join our efforts by providing Internship placements. We are currently working on Natural Language Processing, AI for Chip Design and more! We hope you can join us as we embark on the a journey from research to product! The ideal candidate is open-minded, passionate about realizing AI in practical use cases, and looks forward to cutting-edge challenging problems.

  • You have experience on Frontend/Backend/Full-Stack Web programming
  • You have basic understanding of the foundations and engineering aspects of AI, hands on experience with machine Learning frameworks (PyTorch, Tensorflow, JAX) is a plus.
  • You are a proficient scientific communicator. You are committed to your goals and working in a team.
  • You are eager to tackle real-world applications with state of the art methodologies. We want your ideas to shine! As an Engineering Intern in our team, you will collaborate with our researchers and worldwide colleagues and develop applications and algorithms that make a real difference in everyday devices. Your developments would significantly enhance the experience of numerous end users across our product range.

Main Requirements and Qualifications

  • Familiar with Frontend/Backend/Full-Stack Web programming
  • Basic understanding of the foundations and engineering aspects of AI, hands on experience with machine Learning frameworks (PyTorch, Tensorflow, JAX) is a plus.
  • Personality: Proficient scientific communicator, team work & result-oriented, be eager to tackle real-world applications with state of the art methodologies.

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