AI / ML Staff Engineer

We are looking for a founding AI & Algorithms engineer to own the full lifecycle of novel spatial model development - defining the correct frame of an inference problem, structuring image-based training data into usable formats, training and testing models, deploying performant systems into our production architecture stack. Experimenting with ML and procedural generation approaches to reach efficient and effective outcomes.

Upcoming Challenges

• Create training datasets from imperfect sources (LiDAR Scans, scraped construction docs)
• Combining heuristics, labeling tools, and clever preprocessing (e.g. object detection models) to generate high-quality data at scale.
• Design and train novel spatial deep learning models that intelligently infer room layouts, surface boundaries, and object placement from partial inputs - balancing architectural plausibility with flexibility and precision.
• Explore hybrid approaches that combine classical geometry algorithms with learned models.
• Develop and optimize procedural generation algorithms that can synthesize diverse, high-quality room layouts and design variants - especially for cases where structure and constraints matter (e.g., adjacency, egress, light access)
• Benchmark and iterate on model performance across multiple axes - accuracy, speed, generalization, ...
• Integrate AI models directly into the product stack, working closely with full-stack engineers to ensure outputs are usable in the interactive 3D design environment.

What we Require