Skip to content
Aptiv logo

Working Student Interior Sensing ML

Aptivvor 3 MonatenAktualisiert vor 16 TagenWerkstudent
Vor OrtEnglisch erforderlichDeutsch von Vorteil (nicht erforderlich)TechKI, ML & Data Science

Auf einen Blick

  • Gehalt

    Nicht angegeben

    Median für Wuppertal (alle Bereiche): 15,29 €/Std., aus 13 Werkstudentenanzeigen mit Gehaltsangabe der letzten 12 Monate. Gehaltsübersicht

  • Voraussetzungen

    Studium: Elektrotechnik, Informatik oder vergleichbar · Immatrikulation erforderlich

    Sprachen: Englisch gut

  • Benefits

    Flexible ArbeitszeitenWeiterbildung
  • Arbeitgeber

    Aptiv · Software & Internet

    Wir listen 3 offene Werkstudentenjobs und Praktika bei Aptiv, davon 2 in Wuppertal. Seit März 2026 haben wir dort 3 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von Aptiv

  • Ähnliche Stellen

  • Skills laut Anzeige

    CaffeKerasMachine LearningData PreparationTensorFlowfast.aiPythonPyTorchNeural Networks

Stellenbeschreibung

Beschreibung bereitgestellt von Aptiv

Shaping the Future of Mobility

APTIV is one of the largest automotive suppliers and a global technology leader, with more than 180,000 employees worldwide. We tackle mobility’s toughest challenges and deliver market-relevant solutions for our customers. One of the key technologies driving the advancement of modern driver assistance systems and autonomous driving is Machine Learning (ML) and Artificial Intelligence (AI).

We are looking for talented students who can contribute fresh ideas and support us in developing the next generation of AI algorithms.

The team you will be working with develops solutions for in-cabin sensing. The goal is to determine, among other things, which seats are occupied, whether objects have been left behind in the vehicle, and whether passengers are wearing their seat belts correctly. In addition, we work on many other exciting topics.

If you are looking for an opportunity to work in industry on practical applications and real-world challenges, we would love to hear from you!

We also offer interesting Master’s thesis topics as an attractive opportunity for your next academic and professional step.

Your Responsibilities:

  • Provide general support in the field of Machine Learning for advanced engineering applications, particularly in data preparation and processing, data collection, as well as the training and evaluation of neural networks.

Your Background:

  • You are enrolled at a German university and studying Electrical Engineering, Computer Science, or a related field.
  • You have the ability to program independently in Python.
  • You have practical experience with at least one machine-learning framework such as TensorFlow, Keras, Caffe, PyTorch, fast.ai, or similar.
  • You have good English skills; German language skills are considered an advantage.
  • You are looking for a challenging role and enjoy working as part of a team.

You grow at Aptiv.

Aptiv's winning culture is global by design. We bring together diverse perspectives, cultures, and business contexts to solve our customers' toughest challenges. In this environment, every individual can grow, lead, and make an impact, regardless of background, because inclusion fuels how we innovate and win.

You make an impact at Aptiv.

One of the strengths of humanity is our drive to progress, to improve, to achieve more tomorrow than we did yesterday. People need solutions they can trust when it matters most. At Aptiv, you are building those solutions every day.

You have support at Aptiv.

We ensure you have the resources and support you need to take care of your family, your physical health, and your mental health with a competitive benefits package.

Benefits:

  • Hourly-paid position.
  • Flexible working hours.
  • Structured onboarding process.
  • Attractive training and development plan.
  • Learning, professional growth, and development in a globally recognized international environment.

Privacy Notice - Active Candidates: https://www.aptiv.com/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.

Es gelten:20-Stunden-Regel140/280-Tage-RegelWerkstudentenprivilegBrutto-Netto-Rechner

Teilen

Ähnliche Stellen