Lead AI Engineer

About the role

As a core member of the AI Research team you'll turn cutting-edge, vision-language and diffusion advances into robust real-time systems that see reason and act on dynamic construction sites.

What you'll do

• Research & innovate diffusion-based generative models for photorealistic wall-surface simulation, defect synthesis and domain adaptation
• Architect and train Vision-Language Models (VLMs) and Vision-Language Action Models (VLA) objectives that connect textual work orders
• Lead development of auto-annotation pipelines (active learning, self-training, synthetic data) that scale to millions of frames and point-clouds with minimal human effort
• Optimize and compress models (INT8, LoRA, distillation) for deployment on Jetson-class edge devices under ROS 2
• Own the full lifecycle—problem definition, literature review, prototyping, offline/online evaluation and production hand-off to perception & controls teams

What you need

• Python
• PyTorch
• Deep learning
• C++
• Prototyping
• PhD