Research Engineer - Data Infrastructure

The role

You will own the systems that make world-class data possible for frontier AI models. You will build large-scale data pipelines, train models for data processing, and design data curation strategies.

What you will do

• Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets.
• Train models used in data processing pipelines, such as classifiers, quality filters, and labeling models.
• Design data curation strategies like deduplication, quality scoring, labeling, and augmentation.
• Create tooling and infrastructure for researchers to explore and train on massive datasets.

Required 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).
• Capacity to autonomously evaluate how data quality, composition, and curation affect model outcomes.
• Ability to build tooling to measure data quality, composition, and curation effects.

Nice to have

• Experience building or operating web crawlers

Benefits

• Annual discretionary stipend for professional development
• Annual discretionary stipend to meet up with colleagues
• Annual team offsite
• Monthly co-working stipend if not located near a main hub

About the company

ElevenLabs is an AI research and product company transforming how we interact with technology. They serve millions of users and thousands of businesses through platforms like ElevenAgents, ElevenCreative, and ElevenAPI.