ElevenLabs•yesterday
Research Engineer - Data Infrastructure
Recruiter Fit Breakdown & Candid Summary
1
This role is built for engineers with strong experience in distributed data processing, data-intensive systems, and machine learning pipelines who want to work at the cutting edge of AI. Ideal ca
2
The position offers a high-impact environment with global remote flexibility or options to work from key international hubs.
3
Standard role matching posting requirements.
Role Responsibilities
- 1Build large-scale data pipelines for collecting, processing, filtering, and transforming datasets used to train state-of-the-art models.
- 2Train models used in data processing pipelines, such as classifiers, quality filters, and labeling models.
- 3Design data curation strategies including deduplication, quality scoring, labeling, and augmentation that measurably improve model performance.
- 4Create tooling and infrastructure that lets researchers explore and train on massive datasets quickly and reliably.
Skills Matrix
Must-Have Skills
Distributed Data Processing
Kubernetes(k8s)
Machine Learning Pipelines
Data Engineering
Nice-to-Have Skills
Web Crawlers
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