Master/Ph.D. degree in EE/CS with specialization in Machine Learning/Pattern Recognition plus 1 or more years of relevant experience.

Familiar with pattern recognition algorithms such as feature extraction, object detection, and object recognition.

Familiar with basic machine learning algorithms such as SVM, neural networks, CNN, RNN, LSTM, Transformer, Transfer Learning, Meta Learning, Few Shot Learning, etc.

Familiar with the realization of a recognition system by using advanced machine learning skill/tools such as :Tensorflow, Pytorch, Scikit-Learn

Proficient in Python, C/C++.

Fast prototyping using MATLAB and Python.

Fast-learner, motivated to work in startup environment.

KaiKuTek is the world's leading provider for 3D gesture sensor using mmWave Radar with embedded AI accelerator.

We possess key technologies in areas such as Antenna-in-Package (AiP), ML algorithm, AI accelerator, as well as 60 GHz radar transceiver design.

With recent merger by JMicron, founded in 2001 and located in Hsinchu Science Park, our product portfolio expands to high speed SerDes bridge controller SOC's mainly in storage application utilizing USB, PCIe, and SATA.

This new sensing technology will change and redefine human-machine interface as we know today, and mmWave technology combined with high speed SerDes will open door to many new possibilities and application frontiers.

KaiKuTek is looking for enthusiastic Machine Learning algorithm developers willing to take upon new challenges of working closely with cross functional teams, including digital IC designers, analog/RFIC designers, hardware engineers, software and firmware engineers, production and testing as well as marketing and FAE, to optimize the overall SoC performance in terms of power, area, functionality, testability as well as to create proof-of-concept for new customer engagement.