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Salary
≈ $22k – $43k per year (Estimated)
Location
In office (Taipei)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Nov 17, 2021.

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Profile match
MediaTek Inc. is a global fabless semiconductor company specializing in system-on-chip (SoC) architectures and digital multimedia processing technologies. The enterprise designs and markets integrated circuits for smartphones, smart home devices, IoT hardware, wireless connectivity solutions, automotive electronics, and custom AI chips for edge and cloud applications. Headquartered in Hsinchu, Taiwan, the organization operates an international network of research, development, and sales offices serving original equipment manufacturers (OEMs) and technology brands worldwide.
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 to expand the frontiers of Deep Learning frameworks for Computer Vision and Natural Language Processing and we hope you can join us! The ideal candidate is open-minded, passionate about learning theory, and looks forward to both practical and challenging problems.
  • You will be working towards or recently have completed a PhD in a quantitative field such as Computer Science, Mathematics, Physics or Engineering.
  • You have a good knowledge of the foundations of Deep Learning and Neural Networks, including some experience with Machine Learning frameworks (Tensorflow, PyTorch, JAX)
  • You are a proficient scientific communicator. You are committed to your goals and working in a team.
  • You are eager to tackle the state of the art problems in the field. We want your ideas to shine!

As a Deep Learning Researcher in our team, you will collaborate with our Researchers and with worldwide colleagues, stay up and above the state of the art, initiate with novel ideas, and develop them into algorithms and applications that make the real difference in everyday devices. You will also push your contribution by publishing at top-tier conferences, such as NeurIPS, ICML, ICLR, CVPR, ACL, ICRA, ACM.

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