Job Description
We're seeking an exceptional ML Engineer to expand the boundaries of what's possible with AI video editing. You'll work with the creators of Wav2lip to build and extend computer vision pipelines giving users unprecedented control over humans in video.
What you'll do
What you'll need
Preferred qualifications
We’re a team of artists, engineers, and researchers building controllable AI video editing tools to unbound human creative potential. Our research team build AI video models to understand and affect fine-grained, controllable edits over any human in any video. Our product team makes these models accessible to editors, animators, developers, and businesses to edit and repurpose any video for any audience. Our technology is used to automate lip-dubbing in localization processes in entertainment, create dynamic marketing campaigns personalized to individuals or communities, animate new characters to life in minutes instead of days, affect word-level edits in studio-grade videos to fix mistakes in post-production avoiding having to rerecord entire scenes, and more. Our models are used by everyday people, prosumers, developers, and businesses large and small to tell outstanding stories. In just the last year we graduated at the top of our YC batch (W24), raised a $5.5M seed backed by GV, won the AI grant from Nat Friedman and Daniel Gross, scaled to millions in revenue – and this is only the beginning.
