Join TME for a 16 month fixed contract as an AI Explainability Engineer to design XAI systems that boost driver safety, comfort, and trust in real-time automotive environments.
Requirements
- Develop and implement concepts and systems for explainability of AI systems aimed at automotive applications.
- Augment the existing AI models on detection, interpretation, and explanation of driver distraction, mental workload, and cognitive load.
- Design and refine systems for real-time monitoring and evaluation of driver behavior in varying driving environments.
- Diagnose and assess the parameters contributing to driver distraction and cognitive load, and provide mechanisms for their mitigation.
- Develop, design, and operationalize frameworks for validation to track, evaluate, and provide transparency and accountability on the trust and AI model bias.
- Work with other team members, like human factors specialists and engineers and designers, to implement systems for driver-assistance technologies.
- Participate in the preparation of scientific and technical documents, as well as the internal dissemination of knowledge on automotive explainable AI.