AI/Machine Learning Fellowship (6-12 months)

Job description

Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg, Germany is one of the world’s leading automobile manufacturers and the largest carmaker in Europe. The Group comprises twelve brands from seven European countries: Volkswagen Passenger Cars, Audi, SEAT, ŠKODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN.

Brief Role Description 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 - JANUARY 2027 start

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

AI/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. Possible Tasks within this

Role 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. Qualification requirements Must be currently enrolled at an accredited University/College in a Masters or PhD program, or your Graduation date must be within the last six months.

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. #LI-DNI

Desired Experience

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 Transformers, CNNs, RNN, LSTMs and the latest research trends. Graphical Models. Object Detection, NLP, Scene Understanding.

Passion for cars or physical products.

Competencies

Act as an owner Be a pioneer Grow personally Handle complexity Live integrity & compliance Perform together Think ahead Volkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws.

This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing. Are you ready to join us?

AI/Machine Learning Fellowship Role Summary

Possible Tasks within this

Role Role Responsibilities

Strong Python programming skills. Good experience using Linux.

Desired Experience

Graphical Models. Object Detection, NLP, Scene Understanding. Passion for cars or physical products.

Competencies

This Organization participates in E-Verify.