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 roleThe Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. Data sits at the heart of our Research efforts and enables all other teams. As part of the Data team, you’ll work with over a million hours of video and audio data.
This role exists at the intersection of applied research, data engineering, and ML infrastructure rather than being a traditional research position.
ou’ll build the world’s best human-centric data lake by collaborating closely with our model training teams. By understanding their requirements, you’ll extract new features and annotations that elevate our datasets. You should be passionate about enhancing model performance through high-quality, accurate datasets. Our infrastructure and pipelines are in great shape, and this role provides room to not only enhance them but also influence the team’s longer-term strategy.
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 alone
Experience working on the data layer of Generative AI products, particularly involving images, video, or audio
Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code
Hands-on experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines
We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,
Our cultureAt Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
Serving 50,000+ customers (and 50% of the Fortune 500)We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.
Proprietary AI technologySince 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.
AI Safety, Ethics and SecurityAI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.
The good stuff...Competitive compensation (salary + stock options + bonus)
Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
25 days of annual leave + public holidays
Great company culture with the option to join regular planning and socials at our hubs
+ other benefits depending on your location
#LI-MD1
Skills Required
- Strong background in data-centric, applied Machine Learning (improving models via data quality, curation, labeling, evaluation)
- Experience with the data layer of Generative AI products, particularly involving images, video, or audio
- Excellent Python skills, writing clean, maintainable, well-tested code
- Hands-on experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines
Synthesia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synthesia and has not been reviewed or approved by Synthesia.
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Leave & Time Off Breadth — Leave benefits are positioned as generous, including substantial annual leave plus public holidays and an additional long-tenure sabbatical with a cash award. Flexible working hours and hybrid/remote arrangements further strengthen perceived time-off and flexibility value.
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Healthcare Strength — Health coverage is described as robust, including private medical insurance with mental health support and dental/vision coverage. Added features like cashback options and gym discounts extend the package beyond basic medical coverage.
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Equity Value & Accessibility — Equity is framed as a meaningful part of total rewards through a generous stock options plan and a recent employee liquidity event tied to a major funding round. This can materially improve the perceived value and accessibility of long-term incentives versus options that remain purely paper value.
Synthesia Insights
What We Do
Synthesia is the #1 rated AI video communications platform. Thousands of companies use it to create videos in 140 languages, saving up to 80% of their time and budget. 👉 Trusted by Zoom, Xerox, Teleperformance, Amazon and mor






