AI Research Apprentice

As an AI Research Apprentice, you'll push the frontiers of generative and multimodal learning that power our autonomous robots. You will prototype diffusion-based vision models, vision–language architectures (VLAs/VLMs) and automated data-annotation pipelines that turn raw site footage into training gold.

Requirements

• Design and train diffusion-based generative models for realistic, high-resolution synthetic data.
• Build compact Vision–Language Models (VLMs) to caption, query and retrieve job-site scenes for downstream perception tasks.
• Develop Vision–Language Alignment (VLA) objectives that link textual work-orders with pixel-level segmentation masks.
• Architect large-scale auto-annotation pipelines that transform unlabeled images / point-clouds into high-quality labels with minimal human input.
• Benchmark model performance on accuracy, latency and memory for deployment on Jetson-class hardware; compress with distillation or LoRA.
• Collaborate with perception and robotics teams to integrate research prototypes into live ROS 2 stacks.