研究工程师 - Data Infrastructure

PromptCube; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual discretionary stipend

Annual company offsite

Co-working stipend

Job summary

ElevenLabs is seeking a Research Engineer to join the research team, focusing on data infrastructure powering frontier AI models. You will own systems that enable high-quality data for training and evaluation.

You will build scalable data pipelines, train data-processing models, and design curation strategies to measurably improve model outcomes, while creating tooling for rapid experimentation.

Qualifications

• Experience building data-intensive systems that support ML training pipelines.
• Strong background 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 for training.
• Train models used in data processing pipelines, such as classifiers and labeling models.
• Design data curation strategies to improve model performance.
• Create tooling and infrastructure to enable researchers to explore and train on large datasets.

Skills

Data-intensive systems

Distributed data processing

Kubernetes

Data quality tooling

Job description

岗位职责、任职要求、薪酬福利和远程限制正在根据招聘原文整理。 完整原文可在下方展开查看。

岗位信息

以下为已补全的招聘原始资料，本站岗位二创解读正在审核，完成后会替换为审核稿。

中文详细导读正在整理；英文原文收在下方，可展开核对完整岗位信息。

岗位概况

• 招聘公司：ElevenLabs
• 招聘地区：英国、美国、波兰、Bulgaria
• 工作类型：全职

中文详细导读

岗位职责、任职要求、薪酬福利和远程限制正在根据招聘原文整理。 完整原文可在下方展开查看。

查看完整招聘原文

国际远程岗位，招聘地区：United Kingdom; United States; Poland; Bulgaria。 请核对原招聘中的居住地、工作许可、时区、语言与出差要求；远程岗位不等于全球可申请。 以下保留招聘来源英文原文。

Employer-published remote role. Listed location(s): United Kingdom; United States; Poland; Bulgaria. Remote does not imply worldwide eligibility. Check the original listing for residency, work authorization, time zone, language and travel requirements.

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

• 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.