Who are we?
From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.
Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video.
Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….
Meet Synthesia
We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. 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.
In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. In 2025 we announced our series D funding. In total we’ve raised over $330M in funding from top-tier investors, including NEA, Atlassian Ventures, WiL, PSP Growth, and existing investors such as Accel, Nvidia, Kleiner Perkins, GV and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.
What will you be doing?
As part of the Research Data Team, you will contribute to the development of our large-scale compute and data platform, supporting AI research at scale. Your primary focus will be on optimizing data processing pipelines for our video initiatives. You will be responsible for designing, implementing, and maintaining robust data workflows while working closely with our video team to maximize data quality and usability for model training.
Who are you?
- Background in Computer Science, preferably in Data Engineering, with at least 3 years of industry experience
- You have plenty of experience working with tooling from at least 1 major Cloud Provider (AWS, GCP, Azure)
- You have experience setting up infrastructure at scale for ML / Data Teams, including CI/CD, Data pipelines and Workflow orchestrators
- A background in video data processing is a plus
- You have great coding skills in Python and you care about technical debt & documentation.
- You get a lot of energy from collaborating with Researchers to improve their day-to-day work
- And most importantly..You have excellent verbal and written communication skills in English and you are passionate about what you do!
The good stuff...
- Attractive compensation (salary + stock options + bonus)
- Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote
- 25 days of annual leave + public holidays
- Work in a great company culture with the option to join regular planning and socials at our hubs
- A generous referral scheme when you know people that are amazing for us
- Strong opportunities for your career growth
You can see more about Who we are and How we work here: https://www.synthesia.io/careers
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Top Skills
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
