This is for frontier-AI, AR/VR, robotics, and spatial-computing teams working on ambiguous technical problems where research quality and implementation ability both matter.

Relevant areas: • spatial AI • 3D scene representations • semantic scene understanding • multimodal embeddings • language/image embeddings connected to physical environments • Gaussian splatting and surfel-related research directions • CLIP-like model evaluation • AR/VR prototype logic • scene identification and technical validation • research implementation and experiment design

Best fit: • startups building spatial-AI products • AR/VR or wearable-device teams • robotics or 3D perception teams • founders exploring language-grounded scene understanding • teams needing a senior research engineer to turn ideas into experiments and prototypes