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Synthesia

Synthesia develops AI video creation, avatar, dubbing, and enterprise video-production technology.

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LocationEurope; London; Munich; ZurichWebsiteAvailableProfileImported from approved sources
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Current, verified AI filmmaking roles associated with this company.

5 open rolesExternal employer sources
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Social Video Producer

Synthesia

AI ProducingHybridFull-time

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. You will work alongside a talented social team creating social first videos for LinkedIn, TikTok, Instagram, YouTube Shorts, and beyond. You’ll play a key role in shaping how Synthesia shows up on social, from skits, product drops, and launch teasers to everyday social media campaigns. Motion design basics.

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Research Engineer in Data

Synthesia

AI Sound & MusicRemoteFull-time

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. As part of the Data team, you’ll work with over a million hours of video and audio data. What we're looking for:A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture aloneExperience working on the data layer of Generative AI products, particularly involving images, video, or audioExcellent Python skills, with a strong focus on writing clean, maintainable, and well-tested codeNice to have if you have experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelinesWhy j

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Senior Applied Research Engineer - Video Team

Synthesia

AI CinematographyRemoteFull-time

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. About the roleAs a Research Engineer in our Video team, you will help build the next generation of production-grade foundation models for human-centric video generation. You will join a highly focused team working at the intersection of large-scale generative modeling, distributed systems, and production engineering. What you’ll doYou will own and execute end-to-end research and engineering projects, from hypothesis to production impact.

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Staff Research Engineer - Interactive Avatars

Synthesia

AI Sound & MusicRemoteFull-time

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. About the roleAs a Staff Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Develop methods for streaming infinitely long video sequences at real-time rates. , diffusion, GANs, VAEs) and computer vision background with relevant industry experience.

External listing
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Applied Research Engineer - Dubbing

Synthesia

AI Video GenerationRemoteFull-time

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. About the role As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases.