Intern - Machine Learning 12 months (m/f/d)
Level inferred from job title
Job description
A 12-month internship in Quantum-Systems' Machine Learning department, contributing to autonomy and perception functions for unmanned vehicles across air, land and sea domains. The intern works with experienced engineers on practical machine learning projects, from sensor data preparation to training, evaluation and cloud workflows.
At a glance
- Employment
- Internship
- Work mode
- Remote · Gilching, Bayern, Germany
- Languages
- English – confident
What you'll do
- 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 we're looking for
- Currently studying computer science, artificial intelligence, data science, or a related engineering subject, and looking for a 12-month internship.
- Practical experience in machine learning and interest in applying it to real-world systems.
- Can write Python and have used it for coursework, personal projects, or research.
- Curious, analytical, and comfortable learning new tools and working through technical problems with a team.
- Communicate confidently in English and able to explain work and discuss ideas with colleagues.
Nice to 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.
Your team
Machine Learning department
Works on autonomy and perception functions for unmanned vehicles across air, land and sea domains.
Benefits
- Flexible working hours: trust-based working hours with responsibility for work-life balance.
- Mobile working: option to work mobile for balance.
- Stay active: EGYM Wellpass access to thousands of fitness and sports facilities, with subsidized membership.
- Corporate Benefits: attractive offers and discounts from well-known suppliers and brands, e.g. Adidas, Apple, Expedia.
- Employee events: celebrate successes together.
- Lunch-Card: daily lunch budget is sponsored.
- Company Shuttle: shuttle service from Laim in Munich to the location, with return trips at the end of the workday.
Apply
About Quantum-Systems GmbH
A leading European deep-tech company for unmanned systems across air, land and maritime domains.
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.
Mission
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.
Key facts
- unmanned systems / deep-tech
- 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.
- Open-minded company that actively promotes diversity.
- Creates an inclusive work environment where all employees can reach their full potential.
What they value
- Straightforward tech expertise paired with a customer-centric focus
- Ambitious, bold, and visionary
- Technological excellence