AI Engineer
AI Summary
Builds and improves AI agents that convert construction-site video into 3D models and documentation, working on perception, semantic understanding, and evaluation pipelines for infrastructure data.
About this role
sizeless is building the data layer for the infrastructure under our streets. A construction crew films an open trench with a phone, and our system turns that recording into a 3D model, recognises what is in the ground, and produces the documentation the industry needs - CAD, BIM, GIS and quantities - in a fraction of the time it takes today.
It is a real problem with real customers: construction and utilities still document reality by hand, and almost nothing about that process has changed in decades. We are a small technical team, founded out of ETH Zürich and MIT, and we are looking for engineers who want to work on frontier AI in a domain where it has barely arrived.
Tasks
- Build and improve the agents that turn captured reality into finished documentation
- Work on the perception and semantic layer that recognises components and structures in 3D
- Build the evaluation and verification that tells us when the system is right - and when it is not
- Scale the pipelines behind it: video, point clouds, large documents, and a lot of compute
Requirements
- Solid engineering fundamentals and strong Python
- Hands-on experience with LLMs, agents and the tooling around them
- Real leverage from AI-assisted development, whatever your setup
- Ownership: you take problems personally and see them through
- Full working proficiency in English; German is a plus, not a requirement
Skills
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