Developing code for machine-learning related modules for software engineering and testing applications.
Performing ETL and exploratory analysis on proprietary industrial software testing report.
Design and conduct experiments to validate effectiveness of machine-learning models on improving failure detection rate and AI-based software validation.
Assist in integrating developed machine-learning solutions to Continental\'s software development ecosystem.
Qualifications
Internship Requirements:
Currently pursuing Bachelor\'s/Master\'s degree in the field of Computer Science, Computer
Engineering, Physics, Mathematics, Statistics, or other relevant disciplines
Willingness to learn and collaborate, proactive and result oriented
Proficient in Python (C# is a plus)
Experienced in data modelling and analytics tools
Strong interest in Machine Learning (in particular Graph Neural Networks)4, and
Strong writing and communication skills in English.
Additional Information
Ready to drive with Continental? Take the first step and fill in the online application.