Frontier Tech Vla%20models Jobs

Responsibilities: Design and run large-scale training pipelines for multimodal / VLA systems.

Familiarity with Vision-Language-Action (VLA) models and World Models is a strong plus Experience using foundation models and AI tools for scenario

in AI model training basics such as transformer architecture, hyperparameter tuning, overfitting debug Familiarity with autonomous driving, physics AI, VLA

one of the following fields World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning VLA

At Applied Intuition, you will: Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA

Proven track record designing or training multimodal systems, large-scale VLA models, or generative Diffusion models.

At Applied Intuition, you will: Conduct research on reinforcement learning (RL) related topics including large-scale self-play RL, VLA

At Applied Intuition, you will: Conduct research on reinforcement learning (RL) related topics including large-scale closed-loop RL and VLA

You'll train manipulation policies — VLAs, end-to-end imitation, RL — and push the world model and eval forward.

Hands-on experience in at least one of the following fields Self-play RL and imitation learning, behavior learning VLA

Science, Robotics, Electrical Engineering, or a related quantitative field Foundational ML knowledge (pre-LLM era) Expert knowledge on LLM, VLM, VLA

Proven track record designing or training multimodal systems, large-scale VLA models, or generative Diffusion models.

one of the following fields: World-action foundation model, video/Gaussian generation, diffusion policy, multi-modal robot learning VLA

Hands-on experience in one or more of the following: Humanoid robotics platforms, dexterous manipulation and multi-fingered hands VLA

background focused on at least one of the following domains: Generative World Models / Video Generation / Diffusion Models Vision-Language-Action (VLA