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Intern - Machine Learning 12 months (m/f/d)

Quantum Systems GmbHvor 11 StundenPraktikum
Vor OrtEnglisch erforderlichTechKI, ML & Data Science

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  • Arbeitszeit & Dauer

    12 Monate

  • Arbeitgeber

    Quantum Systems GmbH · Luft- und Raumfahrt, Verteidigung · 250 bis 999 Beschäftigte weltweit · Hauptsitz in Gilching

    Wir listen 20 offene Werkstudentenjobs und Praktika bei Quantum Systems GmbH, davon 11 in Gilching. Seit März 2026 haben wir dort 31 weitere gelistet, die inzwischen geschlossen sind. Alle Stellen von Quantum Systems GmbH

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    2 offene Stellen im Bereich Tech in Gilching

    Insgesamt listen wir in Gilching 17 Werkstudentenjobs und Praktika. Davon: 10 ohne Deutschkenntnisse, 1 hybrid oder remote, keine mit Gehaltsangabe.

  • Skills laut Anzeige

    AI AgentsSupervised LearningMLOpsLiDAREmbedded SystemsComputer VisionCloud ServicesMachine Learning

Stellenbeschreibung

Beschreibung bereitgestellt von Quantum Systems GmbH

About the role:

Join the Machine Learning department at Quantum Systems and contribute to autonomy and perception functions for our unmanned vehicles across air, land and sea domains. During this 12-month internship, you will work with experienced engineers on practical machine learning projects—from preparing sensor data, training and evaluating cutting-edge supervised models and improving the workflows on the cloud that bring our functions into real systems. Your project focus will depend on your interests, skills, and the team’s priorities.

What is your Day to Day Mission:

Our machine learning pipeline offers different internship areas of expertise including, but not limited to:

  • Prepare, inspect, and curate datasets from cameras, LiDAR, telemetry, and other sensor sources.
  • Support the development, training, and evaluation of machine learning and computer vision models.
  • Help test and improve models for deployment on resource-constrained embedded systems.
  • Contribute to reproducible training and evaluation workflows, including data and model tracking.
  • Analyze results, document experiments, and share findings with colleagues across machine learning tasks, hardware, testing, and operations.
  • Manage and extend our cloud services to automate and accelerate machine learning development.
  • Develop and integrate AI agents that automate and streamline employee workflows across the development lifecycle.
  • Improve the reliability, monitoring, security, and cost efficiency of our ML infrastructure.

Es gelten:Pflichtpraktikum140/280-Tage-RegelBrutto-Netto-Rechner

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