AI Research Apprentice

About the role

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.

What you'll do

• Design and train diffusion-based generative models for realistic, high-resolution synthetic data
• Train and improve the segmentation and surface-quality models deployed on our robots in the field
• Develop training objectives for Vision–Language–Action (VLA) models that link text work orders to pixel-level segmentation masks and robot actions
• 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

What you need

• Research
• PyTorch
• Deep learning
• Computer vision
• Prototyping
• Any graduate

Good to have

• Python
• C++
• Git