Member of Technical Staff - ML Research, Multimodal

- 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