Description: Worldwide, the Customer Group has a long tradition of dramatic innovations. Client with its headquarters in Wolfsburg is one of the world’s leading automobile manufacturers and the largest car maker in Europe. The Group comprises of twelve brands from seven European countries.
Deep Learning – experience with CNNs, RNN, LSTMs and the latest research trends
Machine Learning – strong fundamentals in machine learning including reinforcement leaning, imitation learning, etc.
Experience with data gathering, data quality, system architecture, coding best practices
Experience with Python, Pytorch or Tensorflow, keras
Big Data and cloud experience strongly preferred
Experience with distributed systems, GPU programming
Master of Science Degree in Engineering, Computer Science or related field.
PhD strongly preferred.
This role will be tasked with applying machine learning/deep learning to the automotive industry.
Applications could include autonomous driving, manufacturing, material design etc.
This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety.
Major tasks include and not limited to:
Evaluate cutting edge AI/ML method and techniques
Build functional SW prototypes
Document and present the milestones and deliverables