Lead Applied ML Research Engineer - Video AI
Is this job for you?
Build my CV Build your CV and see how well you match this role — and every other one.
Track your applications on mobile The free Whileresume app, on iPhone and Android.
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.
See the full job post
Responsibilities, requirements, skills and benefits — create your free account.
or
Already have an account?
Log inYou might also like these jobs
No closely matching jobs yet — here are the most recent ones.