Research Engineer - Web Crawlers
ElevenLabs
Summary
We are looking for a Research Engineer to join the research team at ElevenLabs, focused on large-scale web crawling for 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 crawling systems that source world-class data from the open web.
Job description
About The Role
We are looking for a Research Engineer to join the research team at ElevenLabs, focused on large-scale web crawling for 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 crawling systems that source world-class data from the open web.
- Building and operating large-scale, distributed web crawlers that discover, fetch, and extract data across billions of pages reliably and efficiently.
- Solving hard crawling problems such as content extraction from messy HTML, deduplication at web scale, freshness and recrawl strategies, and politeness and rate-limit handling.
- Designing targeted crawling pipelines that find high-value data sources, including audio, video, and multilingual content, and turn them into clean training-ready datasets.
- Creating tooling and infrastructure that lets researchers request, monitor, and explore newly crawled web data 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:
- Hands-on experience building and scaling web crawlers or scraping systems, ideally in support of machine learning training data.
- Strong engineering skills in distributed systems at scale (e.g., Kubernetes, queue-based architectures, or custom pipelines processing billions of documents).
- The capacity to autonomously evaluate the quality, coverage, and compliance of crawled data, and to build the tooling to measure it.
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.
Requirements
- Hands-on experience building and scaling web crawlers or scraping systems, ideally in support of machine learning training data.
- Strong engineering skills in distributed systems at scale (e.g., Kubernetes, queue-based architectures, or custom pipelines processing billions of documents).
- The capacity to autonomously evaluate the quality, coverage, and compliance of crawled data, and to build the tooling to measure it.
Benefits
- Professional Development Stipend
- Social Travel Stipend
- Annual Company Offsite
- Co-working Stipend
Company overview
ElevenLabs is a pioneering artificial intelligence company specializing in advanced voice technology and speech synthesis solutions. Founded in 2022 by former Google machine learning engineer Piotr Dąbkowski and ex-Palantir deployment strategist Mati Staniszewski, the company has rapidly emerged as a leader in AI-powered voice generation. Headquartered in London, ElevenLabs develops cutting-edge deep learning models that produce remarkably natural-sounding speech with emotional nuance and contextual awareness. The company's flagship products include text-to-speech software capable of synthesizing vocal emotion and intonation, voice cloning technology, AI dubbing tools supporting over 20 languages, and conversational AI platforms for creating interactive voice agents. With a valuation reaching $11 billion and backing from prominent investors including Andreessen Horowitz and Sequoia Capital, ElevenLabs serves over one million registered users worldwide. The company's technology enables applications across content creation, audiobook production, multimedia localization, and interactive voice interfaces, while also developing detection tools to identify AI-generated audio and address ethical concerns surrounding voice cloning technology.