Research Scientist - World Modeling بدوام كامل في أبوظبي
التخصص
تكنولوجيا المعلومات
نوع الدوام
دوام كامل
الخبرة
أي مستوى
الموقع
أبوظبي
وصف الوظيفة
About The Institute Of Foundation ModelsThe Institute of Foundation Models (IFM) at MBZUAI is a research lab dedicated to meaningful foundation model research — building models from scratch, understanding them deeply, and publishing work that shapes the field. You’ll work alongside world-class researchers and engineers on problems that directly define the models we ship.The RoleJoin the PAN world model project — our effort to build world models: foundation models that simulate, predict, and interact with the physical world. As a Research Scientist, you’ll drive the core research behind PAN — large-scale video generation, interactive and action-conditioned world models, and their applications in robotics and embodied AI — and publish at top venues while turning breakthroughs into working systems.What You'll DoConduct original research on video world models, video diffusion models, and action-conditioned generation — from idea to publication and deploymentDesign pre-training and post-training recipes for large-scale diffusion transformers, including scaling-law studies for video pre-trainingAdvance world action models / video action models and their applications in robotics and embodied agentsDevelop rigorous evaluation benchmarks for physical accuracy, controllability, and interactivityCollaborate with engineering and data teams on large-scale training, data curation, and simulation-based data generationWhat We're Looking For PhD in Machine Learning, Computer Science, Computer Vision, Robotics, or a related field, with first-author publications at top-tier venues (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, RSS, CoRL)Research experience with state-of-the-art video generative models and world models (e.g., Cosmos-3, LTX 2.3, Self-Forcing, Lingbot-World, or comparable systems)Deep expertise in at least one of the following areas:Full-stack data pipelines — large-scale video data pipelines and/or simulation data collection; annotation and filtering workflows for video / world model trainingModel training & infrastructure — training large-scale diffusion transformers on large GPU clustersRendering engines & simulation — Unreal Engine and Blueprint-based gym environments, game-engine integration, building interactive simulated environmentsWorld action models & robotics — world action models / video action models, action-conditioned video generation, world-model applications in roboticsStrong systems and engineering expertise in deep learning frameworks such as PyTorchHighly proficient with modern AI coding agents and web-based coding tools (e.g., Claude Code, Codex, Cursor), and skilled at leveraging them to dramatically accelerate research workflowsExceptional problem-solving skills and the ability to navigate ambiguity in rapidly evolving research areasNice To HaveExperience accelerating diffusion model inference (distillation, few-step generation, real-time interactive generation)Experience with visual tokenization and multimodal foundation modelsExperience deploying world models in robotics or embodied-AI settings
التعليقات
لا توجد تعليقات منشورة حتى الآن.