Research Engineer, AI Video Editing
San Jose, California, United States
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Team & Project Introduction:
We are developing a next-generation AI-powered video editing tool designed to make high-quality video creation accessible to everyone. At the core of this initiative is an intelligent assistant embedded within creative workflows, capable of understanding user intent and automating complex editing tasks. As a member of this mission-driven team, you will collaborate with a tight-knit group of researchers and engineers working at the intersection of machine learning, video editing systems, and creative technology.
Responsibilities:
- Design and develop a next-generation video editing framework that seamlessly integrates AI automation with manual editing workflows.
- Build intelligent agent systems that accurately interpret user intent and orchestrate AI-driven video editing operations.
- Work closely with researchers to support model training, performance benchmarking, and iterative improvement based on real-world user feedback.
- Integrate state-of-the-art LLM and generative AI advancements into the video editing pipeline to power new capabilities and improve user experience.
- Partner with product designers to envision and implement innovative UI strategies that elevate the creative experience.
We are developing a next-generation AI-powered video editing tool designed to make high-quality video creation accessible to everyone. At the core of this initiative is an intelligent assistant embedded within creative workflows, capable of understanding user intent and automating complex editing tasks. As a member of this mission-driven team, you will collaborate with a tight-knit group of researchers and engineers working at the intersection of machine learning, video editing systems, and creative technology.
Responsibilities:
- Design and develop a next-generation video editing framework that seamlessly integrates AI automation with manual editing workflows.
- Build intelligent agent systems that accurately interpret user intent and orchestrate AI-driven video editing operations.
- Work closely with researchers to support model training, performance benchmarking, and iterative improvement based on real-world user feedback.
- Integrate state-of-the-art LLM and generative AI advancements into the video editing pipeline to power new capabilities and improve user experience.
- Partner with product designers to envision and implement innovative UI strategies that elevate the creative experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: AI video Generative AI LLMs Machine Learning Model training Research
Region:
North America
Country:
United States
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