Senior AI Engineer, Volkswagen AG

Volkswagen AG

Location:
United States, Belmont

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

170000.00 - 210000.00 USD / Year

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Job Description:

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.

Job Responsibility:

Applying machine learning/deep learning to the automotive industry
Maintaining and enhancing existing machine learning modules for autonomous vehicles
Designing and implementing new machine learning based approaches based on existing frameworks
Keeping up to speed with the state of the art of academic research and technology in the industry
Coordinating with engineers at the ICC and in Germany on the development of autonomous driving software
Transferring technologies and solutions to Volkswagen Group development divisions
Developing technical specifications and documentation
Representing Volkswagen Group in the technical community, such as at conferences

Requirements:

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
PhD Strongly Preferred
Strong knowledge of different machine learning algorithms
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 have:

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

Additional Information:

Job Posted:
November 21, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior AI Engineer