Research Engineer - Data Infrastructure

Elevenlabs; Greater London; Hybrid; GBP 70,000 - 120,000; Full time

Benefits offered by this job

Innovative culture

Growth opportunities

Learning stipend

Social travel stipend

Annual offsite

Co-working stipend

Job summary

ElevenLabs is an AI research and product company focused on data infrastructure powering frontier models. The Research Engineer will own systems for collecting, processing, and curating vast datasets to train state-of-the-art AI models, enabling scalable experimentation and high-quality data.

The role emphasizes building tooling, pipelines, and evaluation methods, with remote-friendly options and potential collaboration across global hubs.

Qualifications

• Experience building data-intensive systems for ML training pipelines.
• Strong engineering skills in distributed data processing at scale.
• Ability to autonomously evaluate how data quality, composition, and curation affect model outcomes and to build tooling to measure it.

Responsibilities

• Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.
• Train models used in data processing pipelines, such as classifiers and quality filters.
• Design data curation strategies (deduplication, quality scoring, labeling, augmentation) to improve model performance.
• Create tooling and infrastructure for researchers to explore and train on massive datasets quickly and reliably.

Skills

Data-intensive systems

Distributed data processing

Kubernetes

GitHub contributions

Data quality assessment tooling

Tools

Kubernetes

GitHub

Job description

About ElevenLabs

ElevenLabs is an AI research and product company transforming how we interact with technology.

We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always.
We have expanded from voice into three main platforms:

• ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.

• 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.

Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.

How we work

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

• Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you.

• AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

• Excellence everywhere: Everything we do should match the quality of our AI models.

• Global team: We prioritize your talent, not your location.

What 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.

About the role

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.

Requirements

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. Ideally, you bring:

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