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!About us
Join AVES Reality where we are building a revolutionary technology to create real-time, interactive 3D digital twins of the Earth. Our investor-backed team includes experts in robotics, AI, systems engineering and automotive technology. We are looking for talented individuals to join our early-stage startup. If you are passionate about innovation, get on board. Let's build something great together!