
501 - 1000 employees
Founded 2017
📣 Marketing
💼 Consulting
📦 Logistics
🔥 Funding within the last year
💰 $200M Series E - Synthesia on 2025-10
Marketing • Consulting • Logistics
<Synthesia> Synthesia is a SaaS AI video platform that enables businesses to create studio-quality videos without cameras, microphones, actors, or studios by using AI avatars and synthetic voiceovers. The platform supports 160+ languages, one-click translation/localization, an AI screen recorder, brand management, collaboration and analytics, and enterprise-grade security (SOC 2 Type II, GDPR). It’s marketed primarily to teams and enterprises for training, sales enablement, marketing, knowledge management and internal communications, helping companies scale video production while reducing time and cost.
🕒 February 25
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
👻 Ghost score 31%
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501 - 1000 employees
Founded 2017
📣 Marketing
💼 Consulting
📦 Logistics
🔥 Funding within the last year
💰 $200M Series E - Synthesia on 2025-10
Marketing • Consulting • Logistics
<Synthesia> Synthesia is a SaaS AI video platform that enables businesses to create studio-quality videos without cameras, microphones, actors, or studios by using AI avatars and synthetic voiceovers. The platform supports 160+ languages, one-click translation/localization, an AI screen recorder, brand management, collaboration and analytics, and enterprise-grade security (SOC 2 Type II, GDPR). It’s marketed primarily to teams and enterprises for training, sales enablement, marketing, knowledge management and internal communications, helping companies scale video production while reducing time and cost.
• Manage the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power our models. • Work with over a million hours of video and audio data. • Build the world’s best human-centric data lake by collaborating closely with our model training teams. • Extract new features and annotations that elevate our datasets. • Enhance model performance through high-quality, accurate datasets.
• 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
• 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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