Infrastructure Engineer, Pre-training
Tasks
- Build data quality assurance systems
- Collaborate on data processing architectures
- Create distributed computing systems for web scale datasets
- Design distributed data processing infrastructure
- Develop scalable data processing primitives
- Implement data reproducibility and traceability systems
- Implement monitoring and observability systems
- Maintain documentation for infrastructure components
Perks/Benefits
- Flexible working hours
- Generous vacation
- Hybrid work flexibility
- Optional equity donation matching
- Parental leave
- Visa sponsorship
Skills/Tech-stack
Apache Spark | Chunking | Cloud Computing | Data Deduplication | Distributed Systems | Fault-tolerant | Fault-tolerant systems | High Throughput | High-Throughput Systems | Infrastructure as Code | MLOps | Monitoring | Observability | Parallel Computing | Performance optimization | Python | Rust | Tokenization | “as-code”
Education
Regions
Countries
States
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