Чётко очерченная роль в заметной AI-продуктовой компании даёт опыт работы с масштабной инфраструктурой данных для моделей, но без зарплаты сложно оценить общую привлекательность компенсации.
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Зарплата не указанаСовременные технологииПередний край AIПонятные задачиВысокий темп
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Research Engineer (AI): Building large-scale data pipelines, curation systems, and research tooling that power frontier AI models with an accent on distributed data processing, dataset quality, and model-training infrastructure. Focus on training classifiers and quality filters, measuring how data composition affects model outcomes, and enabling reliable exploration of massive datasets.
Location: Remote globally; optional office work in London, New York, San Francisco, or Warsaw
Company
ElevenLabs is an AI research and product company developing voice, chat, speech, music, image, and video technologies through its ElevenAgents, ElevenCreative, and ElevenAPI platforms.
What you will do
Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.
Train classifiers, quality filters, labeling models, and other models used in data processing pipelines.
Design data curation strategies including deduplication, quality scoring, labeling, and augmentation to improve model performance.
Create tooling and infrastructure that enable researchers to explore and train on massive datasets quickly and reliably.
Requirements
Experience building data-intensive systems, ideally supporting machine learning training pipelines.
Strong engineering skills in distributed data processing at scale, including Kubernetes or custom pipelines over large datasets.
Ability to independently evaluate how data quality, composition, and curation affect model outcomes and build tooling to measure these effects.
Demonstrated ability to solve highly complex engineering problems through past projects, designs, or GitHub contributions.
Nice to have
Experience building or operating web crawlers.
Culture & Benefits
Remote work with global location flexibility and optional access to offices in London, New York, San Francisco, and Warsaw.
High-velocity environment with rapid experimentation, lean autonomous teams, and minimal bureaucracy.
Annual discretionary stipend for professional development.
Annual discretionary stipend for meeting colleagues and an annual company offsite.
Monthly coworking stipend for employees who are not near a main hub.
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