Research Engineer - Data Infrastructure

ElevenLabs; Oregon; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual discretionary stipend for pro开发

Annual team meetup stipend

Global offsite trips

Monthly coworking stipend

Job summary

ElevenLabs is hiring a data engineer to design and implement large-scale data pipelines powering its cutting-edge AI models. The role emphasizes building robust data processing systems, training components within the pipelines, and shaping data curation strategies to improve model performance.

You will collaborate with researchers and engineers across remote teams, contributing to tooling, monitoring, and scalable data platforms that enable rapid experimentation and deployment of

Qualifications

• Experience building data-intensive systems, ideally for ML training pipelines.
• Strong engineering skills in distributed data processing at scale.
• 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 state-of-the-art models.
• Train models used in data processing pipelines, such as classifiers, quality filters, and labeling models.

Skills

Data pipelines

Distributed processing

Kubernetes

GitHub contributions

Tools

GitHub

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 $22B - 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

• ElevenLabs proactively supports professional development through an annual discretionary stipend.
• We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
• Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
• If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

About the role

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.