Remote Research Engineer, Data Infrastructure & ML Pipelines

ElevenLabs; Oregon; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Annual discretionary stipend for pro开发

Annual team meetup stipend

Global offsite trips

Monthly coworking stipend

Job summary

ElevenLabs is hiring a data engineer to design and implement large-scale data pipelines powering its cutting-edge AI models. The role emphasizes building robust data processing systems, training components within the pipelines, and shaping data curation strategies to improve model performance.

You will collaborate with researchers and engineers across remote teams, contributing to tooling, monitoring, and scalable data platforms that enable rapid experimentation and deployment of

Qualifications

• Experience building data-intensive systems, ideally for ML training pipelines.
• Strong engineering skills in distributed data processing at scale.
• 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 used to train state-of-the-art models.
• Train models used in data processing pipelines, such as classifiers, quality filters, and labeling models.

Skills

Data pipelines

Distributed processing

Kubernetes

GitHub contributions

Tools

GitHub

Kubernetes

Job description

ElevenLabs is hiring a data engineer to design and implement large-scale data pipelines powering its cutting-edge AI models. The role emphasizes building robust data processing systems, training components within the pipelines, and shaping data curation strategies to improve model performance.

You will collaborate with researchers and engineers across remote teams, contributing to tooling, monitoring, and scalable data platforms that enable rapid experimentation and deployment of