Sen. Machine Learning Engineer (m/f/d)

• Develop and optimize pipelines and interfaces for geospatial data, mapping systems, and 3D mesh processing.
• Design custom model architectures and data pipelines leveraging the latest advancements in geospatial intelligence.
• Analyze and benchmark deep learning architectures and training strategies (SL, RL, SSL) to maximize real-world performance.
• Take full end-to-end ownership of features — from concept and implementation to testing, integration, and deployment.
• Collaborate closely with our CTO on system architecture, feature planning, and technical strategy.

• Strong proficiency in Python and PyTorch (required); experience with C++/CUDA is a plus.
• Proven experience developing machine learning solutions from inception to production.
• You are an independent, creative problem-solver with a proactive mindset.
• You are comfortable working in an agile, fast-moving startup environment.
• Experience with AWS/GCP training infrastructure is a plus.
• Experience with vision-language models or geospatial ML models is a plus.

• Open and supportive team culture, regular feedback loops, and a motivated team that shares a result driven and success-celebrating spirit.
• Continuous personal and professional growth through new challenges and responsibility from day one.
• Startup mentality with long-term prospects: Direct opportunities to contribute and actively shape our company and product – your work will make an impact!

We are a young, dynamic software startup based in Garmisch-Partenkirchen. As a modern company with a hybrid working model, parts of our team are based in Garmisch-Partenkirchen, Munich, and Sofia, Bulgaria, and we also have additional colleagues working remotely across Germany. We work pragmatically, support each other, and prefer celebrating releases over long meetings. We develop and sell software for AI-assisted geospatial data processing, satellite imagery analysis, and the reconstruction of digital 3D map models. In particular, we specialize in creating 3D worlds and maps for the simulation of autonomous vehicles.

We embrace diversity and equal opportunities and welcome applications from everyone.