This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop extensive data pipelines for the collection, processing, filtering, and transformation of datasets utilized to train cutting-edge models.

• Train models that are integral to data processing pipelines, which include classifiers, quality filters, and labeling models.

• Design strategies for data curation such as deduplication, quality scoring, labeling, and augmentation to enhance model performance.

• Build tools and infrastructure that empower researchers to efficiently and reliably explore and train on vast datasets.

• Oversee the data infrastructure that drives ElevenLabs' leading AI models.

⛳️ Requirements

• No official certifications or degrees are necessary.

• Passionate engineers who can showcase their ability to tackle exceptionally challenging problems through previous projects, designs, or contributions on GitHub.

• Experience in developing data-intensive systems, preferably those that support machine learning training pipelines.

• Strong engineering capabilities in distributed data processing at scale, including technologies like Kubernetes or custom pipelines for large datasets.

• Ability to independently assess how data quality, composition, and curation influence model results, and to create tools for measurement.

• Experience in building or managing web crawlers is an advantage.