[6 months, 4-5 days/week] Name of Project: Pangu Objectives: - We are seeking a talent and motivated data analytics and mining engineer intern to join our team. In this role, you will work closely with our AD data scientists and function team to support AD product improvement by using data. This is an excellent opportunity to gain hands-on experience in machine learning and deep learning practice in AD, also will explore more knowledge in ADAS functions. Main Tasks: - Feature engineering for major functions data analytics in ADAS driving such as L2+, L2++, or even parking. Work with data scientists to find out the potential features from raw data, that could cause false positive or unhappy experience of AD functions - Data preparation. Manual to find our all-related data sets in AD data lake, process the data if it is needed to make sure it is ready for model design, training and validation. - Rule based/machine learning models design. Manually to browse all related data sets, find out the potential value pattern for each feature could contribute to a false positive or unhappy case. Support data scientists to build up models. - FP/Unhappy models validation. By using the data prepared, sort out test data bucket, conduct model testing work, and prepare report of each testing. - Model integration to data mining portal. Work with data engineers to integrate FP/unhappy model and features into data mining pipeline, and make it for AD algorithm and system team to use. Key Qualifications: - Good programming skill in python - Deep understanding and hands-on projects of machine learning and deep learning - Excellent attention to detail, problem-solving skills, and the ability to work independently - Strong communication and teamwork skills - Basic understanding of Agile methodologies - Basic knowledge of ADAS functions Language: Chinese: Proficient English: Conversational Education: Degree: Master Major: CS, IT