With the advent of the 5G era, the cloud based V2X brings exciting new possibilities. An electric vehicle is not only a computer with four wheels, but also a mobile data center! Between 2018 and 2022, 125 million cars with embedded connected functions will be sold globally, and hundreds of millions of “connected cars” will join the ecosystem, bringing new challenges and security breaches. It is estimated that by 2030, there will be 700 million connected cars globally and 90 million self-driving cars!

Under the waves of the electric vehicles trend, all electric vehicle component suppliers who want to sell products will have to obtain cyber security-related certifications. VicOne (a subsidiary of Trend Micro) aims to assist those who want to enter the electric vehicle industry to obtain cybersecurity certification standards. To embrace the new business opportunities, we are hiring all passionate "YOU" to join and be inspired to go onto a new journey while exploring Electric Vehicle Security Market in-depth!

We are currently seeking an experienced Machine Learning Engineer with a strong background in both fundamental ML and state-of-the-art Large Language Model (LLM), we aim to empower the security mechanisms of Electric Vehicles (EV), you will have the distinctive opportunity to pioneer and deploy cutting-edge AI technologies, thereby transforming the automotive industry landscape!

Responsibilities:
- Develop, refine and optimize machine learning (ML) models for various applications across business.
- Collaborate with cross-functional teams including software engineers, data scientists, and domain experts to understand requirements and translate them into scalable machine learning solutions.
- Collect, preprocess, and analyze large volumes of automotive data from various sources, such as Vehicle Signals, GPS, and CAN bus.
- Evaluate and validate the performance of machine learning models using appropriate metrics and statistical methods.

Skills and Qualifications:
- Bachelor's or master's degree in Computer Science, Electrical Engineering, or a related STEM field. A Ph.D. is a plus.
- Solid understanding of machine learning algorithms and deep learning architecture like Transformer and related models (such as GPT-3 or similar models)
- Skilled in programming languages such as Python, C++, or Java, with hands-on experience in well-known machine learning frameworks and libraries, like TensorFlow, PyTorch, scikit-learn, LangChain, and PySpark.
- Experience working on machine learning projects in the automotive industry, preferably in areas such as autonomous vehicles, driver assistance systems, predictive maintenance, or intelligent transportation systems.
- Strong knowledge of data preprocessing techniques, feature engineering, and model optimization.
- Familiar with automotive data formats (e.g., CAN bus data, sensor data, GPS data) and tools for data collection and analysis.
- Excellent problem-solving and analytical skills, with the ability to translate complex requirements into practical machine learning solutions.