Machine Learning Fellowship (6-12 months)

Brief Role Description

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At the Innovation & Engineering Center California (IECC), we represent the Volkswagen Group in applied research and development. Located in the heart of Silicon Valley, we create bold new ideas for the Volkswagen, Audi, Bentley, Lamborghini, Bugatti and Porsche brands. We’re a team of engineers, designers, scientists, and psychologists looking to develop innovations for future generations of cars, and to transfer technologies from many industries and research institutions into the automotive domain. Our mission is to drive change which means we are not only impacting one of the world’s largest car makers, but also the lives of millions of people. Are you ready to join us?

* Six Month Minimum commitment - Masters or PhD candidates only.

We are unable to consider International Students/OPT or CPT at this time.

Machine Learning Fellowship

Role Summary

The perception and machine learning team is tasked to apply machine learning to the automotive industry. Applications include autonomous driving, manufacturing, material design, etc. The team develops state of the art AI solutions to solve complex and challenging problems by leveraging the latest techniques in machine learning on large data sets. At ICC, you will be involved in developing modern methods in the field of sensor data processing to enable safe and robust automated driving in any scenario. During this fellowship, you will be supporting a team of AI researchers and engineers to find suitable learning methods for robust perception.

Role Responsibilities

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Role Responsibilities

• Driving data pre-processing including checking labels, formatting, etc.
• Support project team in building data pipelines for training deep neural networks.
• Benchmarking and reporting of various neural network models performance.
• Research into suitable new network architectures to for time series predi...