Volkswagen Group Machine Learning Fellowship (6-12 months) 2026

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

• 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 prediction, and anomalies detection.
• Research into suitable new network architectures to improve the perception of the environment with a focus on optical sensors.
• Research on supervised and unsupervised learning methods to estimate road participants' depth, motion, and velocity. 
• Research on various neural networks for the interpretation of camera images (object detection, panoptic segmentation) and trajectory/motion planning.
• Fusion of different neural networks to use shared resources to decrease memory and computation footprint.

• Table of Content
• About Volkswagen
• Machine Learning Fellowship (6-12 months) Fellowship
• Machine Learning Fellowship (6-12 months) Fellowship Courses
• Requirements for Machine Learning Fellowship (6-12 months) Fellowship Qualification
• Application Deadline
• How to Apply

Machine Learning Fellowship (6-12 months) Fellowship

Machine Learning Fellowship (6-12 months) Fellowship Courses

• machine learning

Requirements for Machine Learning Fellowship (6-12 months) Fellowship Qualification

• Must be enrolled at a University/College or Graduation date must be within the last six months in a Masters or PhD program.
• Must have a cumulative GPA of at least 3.0.
• Strong Python programming skills.
• Good experience using Linux.
• Experience with deep learning frameworks such as TensorFlow and PyTorch.
• Good knowledge of image processing and machine learning.
• Independent work, initiative, motivation, ability to work in a team.

Application Deadline

How to Apply

For more information, kindly visit Volkswagen Group webpage.