Why This Job is Featured on The SaaS Jobs
This Senior Research Engineer role stands out in the SaaS ecosystem because it sits inside a product company where data is a first class input to what customers experience. Synthesia operates an AI video platform used by large enterprises, which implies sustained demand for reliability, governance, and repeatable data processes rather than one off experimentation. The remit is explicitly positioned at the intersection of applied research, data engineering, and ML infrastructure, a common shape for SaaS teams turning generative AI into a durable product capability.
For a SaaS career, the value is in learning how to industrialise data work at scale: sourcing, processing, and serving datasets that directly influence model quality and product outcomes. Working with large multimodal corpora and collaborating closely with model training teams builds fluency in cross functional delivery, where iteration speed must be balanced with reproducibility and maintainability. Experience designing orchestration and data processing pipelines also transfers well across modern SaaS organisations investing in platform foundations.
This role fits professionals who prefer building systems and datasets that other teams depend on, and who enjoy translating research needs into production grade data assets. It will particularly suit engineers who want proximity to applied ML outcomes without focusing primarily on novel model architectures, and who are comfortable owning long lived pipelines and quality standards in a remote friendly environment.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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
The 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
Why join us?
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 culture
At 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 technology
Since 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 Security
AI 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
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