Machine learning engineers are expected to have theoretical knowledge of various machine learning algorithms related to supervised, unsupervised, and reinforcement learning. He/She should be familiar with machine learning programming using Tensorflow or Keras on python. He/She will perform data mining and process mobile network data such as drive test and network KPI, and organize findings to shape reliable outcomes. Good communication and presentation skills are required as engineers assist customers.
Over three years of data processing and mining
Bachelors or higher degree in computer science or electrical engineering
Suitable knowledge of python and at least 1~2 years of programming experience
Knowledge of SQL, C# or Java is a plus
The candidate will work for the MOON (MOtiv’s Optimization of Network) project which aims for improving mobile network performance and quality via network configuration data, big data, machine learning, etc. The current MOON system is running on window server environments, however, the candidate will work on transforming the platform to Linux basis. The candidate will contribute and lead the development of a semi-big data platform for data analysis and solution automation.
A candidate for computer vision engineer possesses skills and experiences of stereo image processing and segmentation, recognition and tracking. You’ll play a key role in building and shaping our 3D digial twin platform system. The experiences or theoretical knoweldge of visual SLAM is a plus.
From 3D point clouds collected by Lidars, to build a feature to segment various objects and to recognize the characteristics of individual objects. To develop the pipeline of end to end 3D digital twin system and program the source code implementing each algorithm belonging to the pipeline using C++ and python. Implemeting the algorithms of SLAM and semantic recongnition To bring ideas of enhancing texturing and quality of 3D models.
We are always seeking for people possessing passion to pursuit new ideas and solutions for mobile network communications. We buy diverse viewpoints and different ways of thinking. We want people who shine and face challenges and overcome theme. We consider applicants regardless of their gender or nationality.