Latest AI Research jobs at Luma AI

Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.

As a Simulation Researcher/Engineer, you will design and build simulation environments for training general-purpose robot policies. This role involves working with generative models and classical physics simulation, developing differentiable pipelines, and driving asset generation.

As a Research Scientist on the World Models team, you will invent next-generation world model architectures with a focus on controllability and physical consistency, develop controllability mechanisms, and define and own metrics for physical fidelity and action-following.

Conducts core research on multimodal foundation models for world-simulations, bridging modeling, data, systems, and evaluation. Requires advanced degree in CS/ML, first-principles scaling intuition, and experience with large-scale GPU training.

Designs and scales infrastructure for evaluating multimodal generative AI models, including pipelines, metrics, and integration into training loops. Requires 5+ years in ML evaluation systems, expertise in visual data, Python, and ML frameworks like PyTorch.

Develops controllability, personalization, and productization for video foundation models using fine-tuning, RL, and evaluation techniques. Requires deep expertise in visual generative models, PyTorch, and product-focused research for creative workflows.