Senior Applied ML Research Engineer - Video AI
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The role
Lead end-to-end ML research and production deployment for video understanding, reframing, temporal analysis, and multimodal processing.
Design, train, and optimize state-of-the-art models that fuse video, language, and audio for intelligent editing workflows.
Develop video-specific features such as scene detection, object tracking, style transfer, and content-aware reframing.
Leverage LLMs and vision-language models to extract actionable insights from complex video data.
Build scalable evaluation frameworks to assess accuracy, robustness, and usability in real-world settings.
Collaborate with product, UX, and business teams to translate research into practical video AI features.
Design, train, and optimize state-of-the-art models that fuse video, language, and audio for intelligent editing workflows.
Develop video-specific features such as scene detection, object tracking, style transfer, and content-aware reframing.
Leverage LLMs and vision-language models to extract actionable insights from complex video data.
Build scalable evaluation frameworks to assess accuracy, robustness, and usability in real-world settings.
Collaborate with product, UX, and business teams to translate research into practical video AI features.
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Remote workNo remote
CitySan Jose, United States