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Principal Applied Research Engineer

Synthesia · London, United Kingdom · Remote possible

Confidence
Medium confidence
Posted
22 May 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.

Sponsor register

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.

Where you apply

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.

THE OPPORTUNITY At Synthesia we really care about video generation, especially about human centric avatar video generation. This led us to release models such as EXPRESS-Video https://synthesiaresearch.github.io/express-video/, and soon our latest video model - these are the best avatar video models in the world, and we are committed to continuing and double down our efforts in leading that area. Our goal is to get to human centric video models that can generate arbitrary long videos at high resolution with arbitrary actions and events. That means continuously training large generative video models from scratch with the proprietary data pipelines and compute infrastructure to support it at scale.

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