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Research Engineer - Data Infrastructure

ElevenLabs· Research & Research Engineering
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RemoteFull-timePosted 1mo ago

About the role

Research Engineer focusing on data infrastructure powering frontier AI models. Own systems for collecting, processing, filtering, and transforming datasets; build tooling to enable researchers to explore and train on massive datasets.

Responsibilities

  • Building large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.
  • Training models used in data processing pipelines, such as classifiers, quality filters, and labeling models.
  • Designing data curation strategies such as deduplication, quality scoring, labeling, and augmentation that measurably improve model performance.
  • Creating tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.

Qualifications

  • Experience building data-intensive systems, ideally in support of machine learning training pipelines.
  • Strong engineering skills in distributed data processing at scale (e.g., Kubernetes, or custom pipelines over large datasets).
  • The capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes, and to build tooling to measure it.

Skills

Required:Data pipeline design and engineeringDistributed data processingData quality assessment and tooling
Nice to have:Web crawlers (bonus)

Benefits

  • Innovative culture
  • Growth paths
  • Learning & development: annual discretionary stipend
  • Social travel: annual discretionary stipend to meet up with colleagues
  • Annual company offsite
  • Co-working: monthly stipend if not located near a main hub
Last updated Oct 22, 2026. Interested? Apply on the company site.
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