Machine Learning Intern

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.