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Senior Research Engineer - Data

AI / ML Engineer • Senior • Remote • Vollzeit • 📍 Europe

Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017 and headquartered in London, with offices across Europe and the US. After a Series E round raising $200M, its valuation stands at $4B. The Data team manages the complete lifecycle of data for researchers - from sourcing and large-scale processing to delivering datasets that power the models, working with over a million hours of video and audio data. This role sits at the intersection of applied research, data engineering and ML infrastructure rather than being a traditional research position. You build the world's best human-centric data lake by collaborating with the model training teams and extracting features and annotations that elevate the datasets. The role is remote in Europe.

Stack

Responsibilities

  • Build the world's best human-centric data lake in collaboration with model training teams
  • Understand training teams' requirements and extract new features and annotations that elevate the datasets
  • Enhance model performance through high-quality, accurate datasets
  • Enhance existing data infrastructure and pipelines and influence the team's longer-term strategy

Requirements

  • Strong background in data-centric, applied Machine Learning, 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 clean, maintainable, well-tested code
  • Hands-on experience designing, building and operating workflow orchestration systems and large-scale data processing pipelines

Soft skills

Passion for enhancing model performance through high-quality dataCollaborative, working closely with model training teams

What we offer

  • Competitive compensation (salary + stock options + bonus)
  • Hybrid setting with an office in London, Amsterdam, Zurich or Munich, or remote in Europe
  • 25 days of annual leave + public holidays
  • Great company culture with regular planning and socials at the hubs
  • Other benefits depending on location