Senior AI Engineer (ML/DL) Senior AI Engineer (ML/DL) Senior AI Engineer (ML/DL)

Volkswagen AG•Belmont, CA

28d•$170,000 - $210,000

About The Position

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 DescriptionAt 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? Role Summary This role will be tasked with applying machine learning/deep learning to the automotive industry. Applications could include autonomous driving, manufacturing, design etc. This is more than a purely academic role – you will likely need to integrate the modules you build into real cars and also think about questions around testability and proving safety. Working in our facility requires a high level of independence and an ability to deal with lots of ambiguity. The incumbent will not be given clear cut projects – instead this individual and subsequent team will be responsible for coming up with the “next big thing” that nobody has thought of as yet, building it and selling it. To be considered, Candidates MUST have extensive experience in the following: Computer Vision, Deep Learning, forecasting, transformers, CNNs. You must also possess strong experience building data models.

Requirements

Computer Vision
Deep Learning
forecasting
transformers
CNNs
strong experience building data models
6 - 8 years of professional experience post graduate degree PREFERRED
4+ years’ Deep Learning experience post graduate degree PREFERRED
Master’s Degree in Computer Science or equivalent.
Proficiency in deep learning techniques and frameworks
Strong understanding of traditional machine learning algorithms and their applications.
Expertise in computer vision, including object detection, image segmentation, and image recognition
Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models. Experience with multimodal language modeling and applications.
Deep understanding of various neural network architectures such as CNNs, RNNs, and Transformers.
Familiarity with reinforcement learning algorithms and their applications in AI.
Skills in data cleaning, feature engineering, and data augmentation.
Experience in training, fine-tuning, and optimizing AI models.
Knowledge of model deployment techniques, including containerization (Docker) and orchestration (Kubernetes).
Strong documentation skills for model architecture, code, and processes.

Nice To Haves

PhD Strongly Preferred
Awareness of ethical considerations in AI, including bias mitigation and fairness.
Understanding of AI-related legal and regulatory considerations, including data privacy and intellectual property.
Proficiency in data storage and management systems, including databases and data lakes.
Familiarity with cloud platforms like AWS, Azure, or GCP, and their AI services.

Responsibilities

Maintains, as well as furthers, enhances existing machine learning modules for autonomous vehicles.
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.
Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software.
Transfers technologies and solutions to Volkswagen Group development divisions.
Develops technical specifications and documentation.
Represents Volkswagen Group in the technical community, such as at conferences.