Sen. Machine Learning Engineer (m/f/d)
Aves Reality
Posted: February 27, 2026
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Quick Summary
Design and implement key features of the AVES Launcher, including geospatial data pipelines, 3D mesh processing, and deep learning architectures.
Required Skills
Job Description
Your mission:
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 profile:
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.
• 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.
Why us?:
• 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!