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ElevenLabs is seeking a Research Engineer to join its research team, focused on building the data infrastructure that powers frontier AI models. The role centers on owning systems that enable world-class data quality and scale—recognizing that model performance is fundamentally bounded by data quality.
Key responsibilities include:
- Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art AI models
- Training models used in data processing pipelines, such as classifiers, quality filters, and labeling models
- Designing data curation strategies (deduplication, quality scoring, labeling, augmentation) that measurably improve model performance
- Creating tooling and infrastructure that enables researchers to explore and train on massive datasets quickly and reliably
The ideal candidate brings:
- Experience building data-intensive systems, particularly in support of ML training pipelines
- Strong engineering skills in distributed data processing at scale (Kubernetes, custom pipelines over large datasets)
- Ability to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build tooling to measure these effects
- Bonus: experience building or operating web crawlers
ElevenLabs operates with a high-velocity, impact-driven culture emphasizing rapid experimentation, lean autonomous teams, and minimal bureaucracy. The company uses AI across engineering, growth, and operations. Founded in January 2023, ElevenLabs has raised $781M and reached an $11B valuation, serving millions of users and thousands of businesses including Deutsche Telekom and Meta. The company offers global flexibility with offices in London, New York, San Francisco, and Warsaw, plus professional development stipends, annual company offsites, and co-working support.
