Lead Applied ML Research Engineer - Video AI
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The role
Advance video AI capabilities by researching, training, and deploying state-of-the-art models for video understanding, reframing, and multimodal processing.
Design and implement multimodal systems that fuse vision, language, and audio to enable intelligent video 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 measure accuracy, robustness, and usability, and collaborate with product and UX teams to deliver enterprise-grade features.
Partner with internal research groups to explore emerging video AI technologies and translate research into interactive prototypes and deployable solutions.
Design and implement multimodal systems that fuse vision, language, and audio to enable intelligent video 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 measure accuracy, robustness, and usability, and collaborate with product and UX teams to deliver enterprise-grade features.
Partner with internal research groups to explore emerging video AI technologies and translate research into interactive prototypes and deployable solutions.
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