Senior Software Engineer, Machine Learning

Vor 2 Tagen


Munich, Bayern, Deutschland AVES Reality Vollzeit 98.000 € - 150.000 € pro Jahr

Join AVES Reality and become part of the world leading platform to turn geospatial data into interactive, simulation-ready 3D digital twin worlds. Our investor-backed team includes experts in AI, geoinformatics and simulation technology, and we work in partnership with global tech leaders and international B2B enterprise customers. We are looking for motivated talents to join our startup and to build something great together

Your responsibilities:

Design, implement, and extend key features of our core product, the "AVES Launcher"

  • 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.

Your qualifications:

3+ years in SW engineering with a focus on deep learning.

  • Strong proficiency in Python and PyTorch (required); experience with C++/CUDA is a plus.
  • Proven experience developing machine learning solutions from inception to production
  • Independent, creative problem-solver with a proactive mindset.
  • 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

Our offer:

  • 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


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