Research Engineer - Data Infrastructure

ElevenLabs; Maine; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Innovative culture

Growth paths

Learning & development

Social travel

Annual company offsite

Co‑working

Job summary

ElevenLabs is seeking a Research Engineer to join the research team focused on the data infrastructure powering our frontier AI models. You will own systems enabling world‑class data for training state‑of‑the‑art models, building large‑scale data pipelines and tooling for scalable experimentation.

You will thrive if you enjoy designing data curation strategies, evaluating data quality on model outcomes, and working in a fast, AI‑first company with global reach.

Qualifications

• Experience building data-intensive systems for ML pipelines.
• Strong skills in distributed data processing at scale (Kubernetes or custom pipelines).
• Ability to evaluate how data quality, composition, and curation affect model outcomes.

Responsibilities

• Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train models.
• Train models used in data processing pipelines, such as classifiers and labeling models.
• Design data curation strategies to improve model performance and reliability.
• Create tooling and infrastructure enabling researchers to explore and train on massive datasets quickly and reliably.

Skills

Data-intensive systems

Distributed data processing

Autonomous data quality evaluation

Tools

Kubernetes

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.

#LI-Remote

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.