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Senior AI Engineer (ML/DL)

United States, Belmont 170000.00 - 210000.00 USD / Year · Job Posted February 17, 2026
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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, as well as furthers, enhances 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
  • 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
  • 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

  • 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

What we offer

  • Eligibility for annual performance bonus
  • Healthcare benefits
  • 401(k), with company match
  • Defined contribution retirement program
  • Tuition reimbursement
  • Company lease car program
  • Paid time off

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