YOUR ROLE
As a Working Student in our team, you will contribute to the development of the next generation of AI algorithms for real-world automotive applications. You will work closely with our engineers on innovative in-cabin sensing solutions that enable vehicles to understand their environment and ensure passenger safety and comfort.
In your daily job you will:
Support us in topics related to machine learning in advanced engineering applications: data preparation and processing, data collection, neural network training and evaluation
YOUR BACKGROUND
Key skills and competencies for succeeding in this role are:
Currently pursuing a degree in Electrical Engineering, Computer Science or similar at German universityProficient in Python programmingPractical experience with at least one machine learning framework, such as TensorFlow, Keras, PyTorch, Caffe, or fast.ai.Strong English skills (German is a plus)Motivated by challenging tasks and enjoys to be part of a teamWHY 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:
Paid hourlyFlexible working hoursPlanned onboarding processAttractive training and development planLearning, professional growth and development in a world recognized international environmentAPPLY TODAY, AND TOGETHER LET’S CHANGE TOMORROW!
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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.