AI Explainability Engineer at Toyota Motor Europe

Zaventem, Flemish Brabant, Belgium -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Explainable AI, Interpretable Models, Human-Centered AI, Machine Learning, Deep Learning, Cognitive Modeling, Real-Time Data Streams, Behavioral Monitoring, Python, C++, TensorFlow, PyTorch, Validation Methods, Operational Metrics, Safety-Critical Systems

Industry

Automotive

Description

In a nutshell 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. Company Information TOYOTA is one of the world’s largest automobile manufacturers and a leading global corporation. Founded in 1937. Toyota now sells vehicles in 170 countries and employs over 350.000 people. Based in Brussels, Belgium, and staffed by 2.700 people and more than 60 nationalities, Toyota Motor Europe (TME) handles the wholesale marketing of Toyota and Lexus vehicles, parts & accessories, and manages Toyota’s European R&D, manufacturing, and engineering operations. We are excited to be transforming into a mobility company focusing on bringing even more happiness to our customers through various mobility solutions. Your team and your responsibilities We are looking for an AI Explainability Engineer for our team at TME whose work will enhance driver safety and comfort. The candidate will design, develop, and assess XAI systems that focus on monitoring and real-time assessment of driver distractions and the cognitive load and mental workload of the driving environment. This is a fixed-term position of 16 months. Your responsibilities 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. Your Profile You are fluent in English (TME’s business language) Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Cognitive Science, or a related field. Experience with explainable AI (XAI), interpretable models, and human-centered AI systems applicant is required to have AI knowledge. Have a working history with machine learning, deep learning, or cognitive modeling. Experience working with real-time data streams and data streams and behavioral monitoring, (with priority in automotive or human factors streams). High level of fluency in at least one of the following programming languages: Python, and C++, as well as working knowledge of a least one of the following ML frameworks: TensorFlow, PyTorch, etc. Awareness of validation methods, operational metrics of models, and safety-critical systems. A truly diverse, equitable and inclusive workplace At Toyota Motor Europe, we are committed to providing equal employment opportunity to all. All our recruitment decisions are based on the individual and their qualifications along with the job requirements. The selection process is without regard to nationality, sexual orientation, gender identity or expression, age, religion, ethnicity, disability or other personal characteristics. We do not tolerate harassment or discrimination as our individual experiences and overall diversity is our key strength. Together we have the power to make a positive change and go beyond the ordinary. If you need any specific consideration for the interview process due to disability or any other reason, please let the recruiter know.

Responsibilities

The AI Explainability Engineer will design, develop, and assess XAI systems to enhance driver safety and comfort. Responsibilities include monitoring driver distractions and cognitive load in real-time automotive environments.