
Data Infrastructure Specialist
1 week ago
Job Overview
We're seeking a skilled Data Infrastructure Engineer to support the development of large-scale language models. This is an exciting opportunity to join our team and contribute to cutting-edge AI research.
About the Role
In this role, you'll be responsible for designing, building, and operating scalable data infrastructure to support distributed computing and data orchestration for LLM research. You'll work closely with researchers to accelerate experiments, develop new datasets, and improve infrastructure efficiency.
- Main Responsibilities
- Design and build high-throughput systems for data ingestion, processing, and transformation to support LLM model development
- Develop synthetic datasets using state-of-the-art solutions
- Collaborate with research teams to deliver critical data assets for model development and evaluation
- Implement and maintain monitoring and alerting to support platform reliability and performance
Required Skills and Qualifications
To succeed in this role, you'll need:
- Distributed Computing Expertise
- 5+ years of experience in data infrastructure, ideally supporting high-scale applications or research platforms.
- Fluent in cloud infrastructure, data storage architectures, and batch + streaming pipelines.
- Experience with specialized hardware (GPUs, TPUs) computing and GPU cluster.
- Strong knowledge of databases, storage systems, and how architecture choices impact performance at scale.
- Familiar with microservices architectures, containerization and orchestration, and both synchronous and asynchronous processing.
Working Remotely
This role is fully remote, allowing you to work from anywhere. We offer competitive compensation and benefits packages, tailored to individual backgrounds and experience levels.
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