Lead Applied ML Research Engineer - Video AI
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The role
Lead the research, design, and deployment of state-of-the-art video AI models for understanding, reframing, and multimodal processing.
Build scalable multimodal systems that combine vision, language, and audio to enable intelligent video editing and content creation workflows.
Develop video-specific features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing.
Leverage large language and vision-language models to extract actionable insights from complex video data.
Create robust evaluation frameworks and optimize end-to-end AI workflows for production use and dynamic user interaction.
Collaborate with product, UX, and research teams to translate innovations into enterprise-grade features and interactive prototypes.
Build scalable multimodal systems that combine vision, language, and audio to enable intelligent video editing and content creation workflows.
Develop video-specific features such as automated scene detection, object tracking, style transfer, and content-aware cropping/reframing.
Leverage large language and vision-language models to extract actionable insights from complex video data.
Create robust evaluation frameworks and optimize end-to-end AI workflows for production use and dynamic user interaction.
Collaborate with product, UX, and research teams to translate innovations into enterprise-grade features and interactive prototypes.
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