Foundation Model Pearl Jobs

At Applied Intuition, you will: Conduct research on pretraining world-action foundation model with various world modalities

related topics including 3D/world-action foundation model, multi-modal pretraining, feed-forward Gaussian splatting, world foundation model with

With dozens of model releases and rapid growth, we’ve reached an inflection point in our business.

, creating the foundation for robust autonomy in real-world settings.

With dozens of model releases and rapid growth, we’ve reached an inflection point in our business.

Improve sim-to-real transfer through advanced contact models and actuator dynamics that help policies trained in simulation transfer to physical humanoid

, input pipelines, evaluation, deployment, or model optimization.

foundation models and generative AI workloads to run efficiently on Cerebras' Wafer-Scale Engine (WSE).

and video generation (e.g., latent and video diffusion models, diffusion transformers) A solid foundation in generative modeling and deep learning

humanoid robotics, with a focus on dexterous manipulation and relevant frontier research problems Conduct original research on world-action foundation

models (LLMs, VLMs, and multimodal models) to automate and enhance labeling, quality assurance, and data discovery Leverage software-in-the-loop

release cycles for the core model stack Drive the integration, adaptation, and fine-tuning of foundation models into Apollo's autonomy stack.

With dozens of model releases and rapid growth, we’ve reached an inflection point in our business.

model and its pretraining World foundation model and video generation 3D/multi-view end-to-end models for autonomous driving or robotics

model, video/Gaussian generation, diffusion policy, multi-modal robot learning VLA post-training, reinforcement learning Physics-aware