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AI Sound & Music

Research Engineer in Data

Synthesia

External listing
EuropeRemoteFull-timeCompensation not provided
External listing from the employer

Originally published by Synthesia through its Ashby careers source. Applications go to the employer's website, and AIMovieJobs is not the hiring employer.

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Quick facts

EuropeLocationRemoteWorkplaceFull-timeJob typeCompensation not providedCompensationAI Sound & MusicCategoryResearch and DevelopmentDepartmentJan 12, 2026PostedSep 8, 2026Last verifiedMar 7, 2027Expires

Role overview

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. As part of the Data team, you’ll work with over a million hours of video and audio data. 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 aloneExperience working on the data layer of Generative AI products, particularly involving images, video, or audioExcellent Python skills, with a strong focus on writing clean, maintainable, and well-tested codeNice to have if you have experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelinesWhy j

What the employer is 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
  • Nice to have if you have experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines