Intern - Machine Learning 12 months (m/f/d)
Summary
A 12-month machine learning internship at Quantum Systems in Gilching (near Munich), supporting autonomy and perception functions for unmanned air, land, and sea vehicles. Day to day involves preparing sensor data (camera, LiDAR, telemetry), training and evaluating ML/computer vision models, deploying on embedded systems, and improving cloud ML workflows, using Python and tools like PyTorch, Docke
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.
What you bring to the team:
You are currently studying computer science, artificial intelligence, data science, or a related engineering subject, and are looking for a 12-month internship.
You already have practical experience in machine learning and are interested in applying them to real-world systems.
You can write Python and have used it for coursework, personal projects, or research.
You are curious, analytical, and comfortable learning new tools and working through technical problems with a team.
You communicate confidently in English and are able to explain your work and discuss ideas with colleagues.
It is a plus if you have:
Worked with a deep learning framework such as PyTorch or explored computer vision.
Used Git and Linux, or worked with Docker, Kubernetes, cloud platforms, or GPU-based training.
Handled image, geospatial, LiDAR, or other sensor data, or have an interest in simulation and synthetic data.
Why Quantum-Systems:
We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
We are industry pioneers who are ambitious, bold, and visionary.
We push limits, think outside-the-box and strive for technological excellence to shape the future of aerial data.
We promise to be your runway for individual and professional growth.
Our benefits:
Flexible working hours: With trust-based working hours, you are not only responsible for your working hours, but also for your work-life balance.
Mobile working: If it gets too turbulent for you in our office, you can get the necessary balance through mobile working.
Stay active: With EGYM Wellpass, you get access to thousands of fitness and sports facilities — and of course, we subsidize the membership.
Corporate Benefits: Your opportunity for attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
Employee events: We not only want to grow together, but also celebrate our successes together.
Lunch-Card: Be powerful with delicious energy, daily lunch budget is sponsored.
Company Shuttle: Enjoy our convenient shuttle service that picks you up from Laim in Munich and brings you to our location, with return trips at the end of the workday.
About us:
Quantum Systems is a leading European deep-tech company for unmanned systems across air, land and maritime domains. We develop and scale integrated hardware, software and AI-powered solutions for mission-critical operations. By combining autonomous platforms with intelligent software and AI, Quantum Systems enables customers to operate, understand and act across domains.
Our commitment:
We are an open-minded company that not only values diversity, but actively promotes it. Regardless of gender, age, ethnic origin, religion, sexual orientation or disability, we firmly believe that the diversity of our employees is an essential part of our success.
At our company, every voice is heard and every perspective is valued. We believe that our differences enrich us and help us to find creative solutions and generate innovative ideas. We pride ourselves on creating an inclusive work environment where all employees can reach their full potential.
Skills
As published by recruitee · 12 questions · 1 written answer
Basics
Full name, Email, CV, Phone, Photo
Short answers (3)
- Earliest possible start date
- Desired annual salary incl. all allowances
- Who recommended Quantum-Systems to you? optional
Pick from a list (7)
- Please indicate your German level
- Do you currently hold a valid work permit for Germany (e.g., EU Blue Card, EU Citizenship, residence permit with work authorization)?
- I am aware that role is onsite and ready to attend the office 3-4 days per week
- Do you have any disabilities? optional
- We're dedicated to fostering diversity at Quantum-Systems. For that purpose would you be willing to share your gender identity? Your response will be kept confidential and will only be used for diversity reporting and analysis and will not impact your application optional
- By doing so, you grant us permission to process your data for the purpose of your application process at Quantum-Systems GmbH.
- Did you meet us at CPE in Lyon?
Written answers (1)
- Please name all citizenships you have
Attachments (1)
- We would like to kindly ask you to share additional materials that showcase your projects in a visual format (ideally as a PDF). These can include: Engineering work / Software repositories (e.g., GitHub) / Design or marketing projects. Please emphasize the aspects that you feel best reflect your expertise and that we should make sure not to overlook! optional