AI/ML Engineer
Your role
Work on cutting-edge AI technologies that power future ADAS and automated driving systems
Apply state-of-the-art machine learning and computer vision techniques to real-world automotive challenges
Gain hands-on experience with large-scale datasets, modern AI frameworks, and production-oriented development workflows
Collaborate with experienced researchers and engineers in a highly innovative international environment
Explore emerging areas such as foundation models, multi-modal learning, behavior prediction, and automated parking
Develop both research and engineering skills while contributing to products deployed in customer vehicles
Your background
Master's degree (or close to completion) in Computer Science, Machine Learning, Computer Vision, Robotics, Electrical Engineering, Mathematics, Physics, or a related field
Strong analytical and problem-solving skills with a solid foundation in mathematics, statistics, and machine learning
Good understanding of machine learning fundamentals and deep learning concepts
Academic, internship, research, or project experience in one or more of the following areas:
Computer vision (detection, segmentation, tracking, 3D perception)
Deep learning techniques (CNNs, Vision Transformers, foundation models)
Sequential or temporal modeling and processing
Representation learning, self-supervised learning, or generative AI
Multi-modal learning
Hands-on experience with Python and at least one modern ML framework (preferably PyTorch)
Experience implementing, training, or evaluating machine learning models through coursework, research projects, internships, or personal projects
Ability to read and understand scientific literature and translate research ideas into practical implementations
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
Experience through internships, thesis work, research projects, open-source contributions, competitions, or personal projects related to AI/ML
Knowledge of perception, prediction, planning, robotics, or autonomous systems
Experience with multi-sensor processing (camera, radar, lidar, IMU)
Familiarity with large language models, vision-language models, or foundation models
Experience with model optimization, deployment, or efficient inference
Knowledge of C++ and software engineering best practices
Exposure to cloud-based or large-scale training environments
Familiarity with automotive, ADAS, autonomous driving, or robotics applications
Contributions to scientific publications, patents, open-source projects, or technical competitions
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:
Private health care (Signal Iduna) and Life insurance for you and your beloved ones
Well-Being Program that includes regular webinars, workshops, and networking events
Hybrid work (min. 47 days/yr of remote work, flexible working hours)
Employee Pension Plan paid by the employer (you get + 3,5% on each gross salary)
Access to sports groups and Multisport card
#LI-PP1
Privacy Notice - Active Candidates:
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.
