The Volkswagen Group is seeking to apply machine learning and deep learning to the automotive industry, including areas such as autonomous driving, manufacturing, and material design. The goal is to drive innovation and transfer technologies from various industries and research institutions into the automotive domain, impacting one of the world’s largest carmakers and the lives of millions of people.
Requirements
- Background in Deep Neural Network Learning, Computer Vision and Machine Learning.
- Strong programming skills with Python and TensorFlow on desktops, embedded and distributed backends (e.g. AWS).
- Experience with data gathering, data quality, system architecture, coding best practices.
- Take initiative to launch projects with the ability to quickly learn and develop own ideas in an interdisciplinary environment.
- Extracting high level logical structure from low level, multi-dimensional data.
- Experience with CNNs, RNN, LSTMs and the latest research trends.
- Specification/Documentation of interfaces between software modules.
Responsibilities
- Maintains, as well as furthers, enhances existing machine learning modules.
- 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.
- Transfers technologies and solutions to Volkswagen Group.
- Integrates new software modules into the framework.
- Tests developed modules in the prototype (unit tests, integration tests, in-vehicle/field tests, etc.).
- Analyzes and evaluates conducted tests.
Other
- 5+ years related work experience or equivalent combination of education and related work experience.
- Master’s Degree in Computer Science or equivalent.
- Strong communication skills - ability to explain complex technical topics to non-experts.
- Team player with good collaboration and integration skills – joining people, processes and systems.
- 5% of time international travel possible.
