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Research Engineer - Data Infrastructure

ElevenLabsRemote (Worldwide)Удалённо
AIKubernetesMachine LearningDistributed systemsData PipelinesData InfrastructureData Processing

Описание

This role focuses on building large-scale data pipelines and infrastructure used to train AI models. Responsibilities include data collection, processing, filtering, curation, and creating tooling for researchers. The position is remote and can be performed globally, with optional office locations.

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 our 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

Requirements

  • 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 the tooling to measure it

Nice to have

  • Experience building or operating web crawlers

We offer

  • Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible
  • Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities
  • Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend
  • Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose
  • Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy
  • Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend
  • This role is remote and can be executed globally
  • If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw