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A leading semiconductor company is seeking a Research Scientist to join its AI research team in London/Cambridge. This role involves conducting innovative research in machine learning and artificial intelligence, developing algorithms, and publishing results. The ideal candidate should have a PhD or equivalent experience, a strong publication record, and expertise in programming languages like Python and C++. We offer a competitive compensation package and a hybrid work arrangement.
MediaTek is a key player in the semiconductor industry, with more than 40 offices worldwide. MediaTek Research is our dedicated research lab at the forefront of artificial intelligence. We focus on fundamental AI research aimed at advancing the broader scientific community, as well as applied AI research with potential impact on chip design and communication systems. We are committed to open science and regularly publish in top conferences such as NeurIPS, ICML, ICLR, and ACL.
We are seeking a highly motivated and talented Research Scientist to join our AI research team. The ideal candidate will have a strong background in machine learning, artificial intelligence, computer science, mathematics, or physics, and a proven track record of research excellence. As a Research Scientist, you will work on cutting-edge projects that push the boundaries of AI and contribute to both applied and theoretical advancements in the field.
This role is ideal for individuals who are excited to define and pursue their own research directions, thrive in an environment of self-driven exploration, and see research as more than a job—but as a passion and a way to make meaningful impact.
Our team operates in two main directions: one focused on applying AI to the design and optimization of semiconductors, and the other dedicated to fundamental research that supports both our applications and the broader scientific community.
Current areas of interest include large language models (LLMs), optimization methods for deep learning, reinforcement learning (RL), and generative models.
London/Cambridge
Competitive package available
Closing Date - 16-Oct-2025
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