Member of Technical Staff - ML Research, Multimodal

What we're looking for We value a relentless approach to problem-solving, rapid execution, and the ability to quickly learn in unfamiliar domains. - Strong grasp of machine learning fundamentals, with depth in at least one relevant domain (e.g. sequence or world models, computer vision, sensor fusion, generative modeling, physics-informed NNs) - Experience training large-scale models and the ability to understand experimental results through careful analysis and ablation studies - Familiarity with distributed training and the systems considerations of scaling models - A track record of turning open-ended research problems into production models