Lead AI Research Engineer

Drive the next wave of generative and multimodal intelligence that powers our autonomous robots. 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.

Key Responsibilities :

• 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 Alignment (VLA) objectives that connect textual work orders, CAD plans, and sensor data to pixel-level understanding.
• 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.
• Publish internal tech reports and external conference papers; mentor interns and junior engineers.

Qualifications & Skills :

Why join us?