Lead Applied ML Research Engineer - Video AI
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The role
Lead research, train, and deploy state-of-the-art models for video understanding, reframing, temporal analysis, and audio-visual processing.
Build multimodal AI systems that combine vision, language, and audio to enable intelligent video editing workflows.
Develop video-specific features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing.
Leverage LLMs and vision-language models to analyze complex video data and extract actionable insights.
Build and optimize agentic AI workflows that enable dynamic user interaction with video AI systems.
Collaborate with product, UX, and business teams to translate video AI innovations into enterprise-grade features.
Build multimodal AI systems that combine vision, language, and audio to enable intelligent video editing workflows.
Develop video-specific features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing.
Leverage LLMs and vision-language models to analyze complex video data and extract actionable insights.
Build and optimize agentic AI workflows that enable dynamic user interaction with video AI systems.
Collaborate with product, UX, and business teams to translate video AI innovations into enterprise-grade features.
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