[Remote] Research Engineer - Data Infrastructure

Note: The job is a remote job and is open to candidates in USA. ElevenLabs is an AI research and product company transforming how people interact with technology through AI audio and related platforms. The Research Engineer will build and own large-scale data infrastructure, pipelines, models, and curation tools that support the training of frontier AI models.

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

Skills

• We do not require any formal certifications or degrees
• Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions
• 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
• This role is remote and can be executed globally
• Bonus: Experience building or operating web crawlers

Benefits

• Growth paths: countless opportunities to drive impact beyond your immediate role and responsibilities.
• Learning & development: professional development through an annual discretionary stipend.
• Social travel: an annual discretionary stipend to meet up with colleagues each year.
• Annual company offsite: the entire team is brought together in a new location each year.
• Co-working: a monthly co-working stipend if you’re not located near one of the main hubs.
• Remote work that can be executed globally.
• Option to work from offices in London, New York, San Francisco, and Warsaw.

Company Overview