Research Engineer - Data Infrastructure

About the Position

Research Engineer - Data Infrastructure

We are looking for a Research Engineer to join the research team at ElevenLabs, focused on the data infrastructure that powers our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the systems that make world-class data possible. You will thrive in this role if you enjoy:

• 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.

About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology. We serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors include prominent firms such as Andreessen Horowitz, ICONIQ Growth, and Sequoia. We've raised $781M in funding and our last valuation was $22B.

We have expanded from voice into three main platforms:

• ElevenAgents: Enables businesses to deliver seamless and intelligent customer experiences.
• ElevenCreative: Empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
• ElevenAPI: Gives developers access to our leading AI audio foundational models.

Responsibilities

• Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets.
• Train models used in data processing pipelines.
• Design data curation strategies to improve model performance.
• Create tooling and infrastructure for researchers.

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.

Bonus: Experience building or operating web crawlers.

Location

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.

We Offer

• Innovative culture: Be part of a generational opportunity to define the trajectory of AI.
• Growth paths: Join a dynamic team with countless opportunities to drive impact.
• Learning & development: Annual discretionary stipend for professional development.
• Social travel: Annual discretionary stipend to meet up with colleagues.
• Annual company offsite: Team gatherings in new locations each year.
• Co-working: Monthly co-working stipend if not located near our main hubs.

About the Company

ElevenLabs is an equal opportunity employer and does not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.