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Goals/Mission: Research and Deliver Machine Learning Solutions for Trend Security Products
Responsibility:
1. Study Malware characteristics for Mac OS/Windows/Linux or other cyber threats and work with threat experts to design possible features.
2. Handling real traffic data and analyzing distribution of features, selecting and/or changing features, purifying data, building up good quality training/testing data set as well as automatic processes for training and testing.
3. Research machine learning approaches to learn knowledge from real world data and prediction results should be comparable to worldwide competitors.
4. Based on gained knowledge from above research to provide advice or solution POC on new or enhanced methods of malware detection for Titanium, OfficeScan, and other Trend Products.
5. Implement and deliver machine-learning solutions as packages of Intelligent Engine embedded into Trend Products.
6. Join and speak in global security conference about research. Observations and findings.
Qualifications:
1. PhD/Master graduates in Computer Science or related fields.
2. Fast-Learning, Creativity and self-motivated.
3. Strong Developing Skill under Linux with C/C++ or Python.
4. Strong passion on pattern recognition/machine learning/neural network with some programming to validate certain algorithms.
5. Good at Statistics would be a plus.