Research Engineer, Multimodal Data

Own the visual understanding roadmap end-to-end: from picking the model family for a customer's taxonomy to landing it in production inference at corpus scale. - Train, fine-tune, and evaluate VLMs, VQA models, embedding models, and CNNs against customer datasets and benchmarks. - Drive down per-clip annotation cost — model selection, distillation, batching, decode pipelining — so "annotate every clip in a 10K-hour…

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