Role Summary

This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, 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. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects – instead this individual and subsequent team will be responsible for coming up with the “next big thing” that nobody has thought of as yet, building it and selling it. To be considered, Candidates MUST have extensive experience in the following:  Computer Vision, Deep Learning, forecasting, transformers, CNNs. You must also possess strong experience building data models. Role Responsibilities

Machine Learning Development

·Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.

·Designs and implements new machine learning based approaches based on existing frameworks.

·Keeps up to speed with the state of the art of academic research and technology in the industry.

·Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software.

·Transfers technologies and solutions to Volkswagen Group development divisions. Process Documentation and Representation

•Develops technical specifications and documentation.

•Represents Volkswagen Group in the technical community, such as at conferences.

Qualifications

Qualifications

• 6 - 8 years of professional experience post graduate degree PREFERRED

• 4+ years’ Deep Learning experience post graduate degree PREFERRED Education Requirements:

•Master’s Degree in Computer Science or equivalent. Education Desired

• PhD Strongly Preferred. Skills

•Strong knowledge of different machine learning algorithms. Required Skills:

Deep Learning :

Proficiency in deep learning techniques and frameworks Machine Learning :

Strong understanding of traditional machine learning algorithms and their applications. Computer Vision :