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Job Description - Machine Learning Fellowship - Masters or PhD (Unable to consider OPT/CPT) (PER000018) Machine Learning Fellowship - Masters or PhD (Unable to consider OPT/CPT) - PER000018 - Hybrid On-Site Primary Location VW. Two letters. Endless opportunities. A bright future. Innovation. Sophistication. Optimization. This is our Passion. Worldwide, the Volkswagen Group has a long tradition of dramatic innovations. The Volkswagen Group with its headquarters in Wolfsburg 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, KODA, Bentley, Bugatti, Lamborghini, Porsche, Ducati, Volkswagen Commercial Vehicles, Scania and MAN. Here in the US, we are blending German engineering with American ingenuity. 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. 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 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. Qualifications Must be enrolled at a University/College or Graduation date must be within the last six months. Must have a cumulative GPA of at least 3.0. 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. Six Month Minimum commitment - Masters or PhD candidates only. We are unable to consider International Students/OPT or CPT at this time. In Belmont, California, the hourly rates for this role are based on level of education: Undergraduate (Junior or Senior): $35/hour We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #J-18808-Ljbffr

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