Staff Research Scientist, Exotic AI

Tech Stack

Responsibilities

• Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures).
• Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families).
• Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy learning.
• Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora).
• Lead cross-team technical decisions on training frameworks, data pipelines, and model evaluation infrastructure.

Benefits

• Health Insurance

Culture

Requirements