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Staff Research Scientist- Interactive Avatars

Synthesia · London, United Kingdom · Remote possible

Confidence
Medium confidence
Posted
6 Oct 2026
First seen
24 Oct 2026
Last checked

Evidence

Medium confidence

Synthesia is on the UK Home Office register. The posting doesn’t mention visas.

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UK Home Office Register of Licensed Sponsors

Listed as Synthesia Limited. London · Skilled Worker route · A rating. Snapshot 26 Oct 2026.

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Job posting

Doesn’t mention visas or relocation.

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Seen on the job board

First seen 24 Oct 2026. We check every day and remove closed roles.

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jobs.ashbyhq.com/synthesia

Synthesia’s job board, hosted by Ashby.

Being on the register means Synthesia can sponsor visas. It doesn’t confirm this role qualifies, so check with the recruiter.

About the role

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. 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.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

ABOUT THE ROLE As a Staff Research Scientist, you will join a team of 40+ researchers and engineers in our R&D department, working on the frontier of generative AI with a focus on avatar-centric, interactive video diffusion models. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that listen, respond, and react like humans. As part of our Interactive Avatars team, you'll build models that hold natural, real-time conversations: understanding what a user says and how they say it, then responding with appropriate turn-taking, backchannels, gaze, and facial and body reactions.

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