AI/ML Engineer

• Your role
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• Work on cutting-edge AI technologies that power future ADAS and automated driving systems
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• Apply state-of-the-art machine learning and computer vision techniques to real-world automotive challenges
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• Gain hands-on experience with large-scale datasets, modern AI frameworks, and production-oriented development workflows
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• Collaborate with experienced researchers and engineers in a highly innovative international environment
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• Explore emerging areas such as foundation models, multi-modal learning, behavior prediction, and automated parking
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• Develop both research and engineering skills while contributing to products deployed in customer vehicles
• Your background
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• Master's degree (or close to completion) in Computer Science, Machine Learning, Computer Vision, Robotics, Electrical Engineering, Mathematics, Physics, or a related field
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• Strong analytical and problem-solving skills with a solid foundation in mathematics, statistics, and machine learning
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• Good understanding of machine learning fundamentals and deep learning concepts
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Academic, internship, research, or project experience in one or more of the following areas

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• Computer vision (detection, segmentation, tracking, 3D perception)
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• Deep learning techniques (CNNs, Vision Transformers, foundation models)
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• Sequential or temporal modeling and processing
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• Representation learning, self-supervised learning, or generative AI
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• Multi-modal learning
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• Hands-on experience with Python and at least one modern ML framework (preferably PyTorch)
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• Experience implementing, training, or evaluating machine learning models through coursework, research projects, internships, or personal projects
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• Ability to read and understand scientific literature and translate research ideas into practical implementations
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• Good communication skills in English
• Exceptional recent graduates with strong academic performance, research experience, internships, or outstanding personal projects are encouraged to apply.
• Nice to have
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• Experience through internships, thesis work, research projects, open-source contributions, competitions, or personal projects related to AI/ML
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• Knowledge of perception, prediction, planning, robotics, or autonomous systems
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• Experience with multi-sensor processing (camera, radar, lidar, IMU)
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• Familiarity with large language models, vision-language models, or foundation models
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• Experience with model optimization, deployment, or efficient inference
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• Knowledge of C++ and software engineering best practices
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• Exposure to cloud-based or large-scale training environments
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• Familiarity with automotive, ADAS, autonomous driving, or robotics applications
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• Contributions to scientific publications, patents, open-source projects, or technical competitions
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• Experience working with Git, CI/CD, and collaborative development workflows
• Why join us?
• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv

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Private health care (Signal Iduna) and Life insurance for you and your beloved ones
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Well-Being Program that includes regular webinars, workshops, and networking events
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Hybrid work (min. 47 days/yr of remote work, flexible working hours)
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Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
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Access to sports groups and Multisport card
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