Design and implement high-performance data processing infra for LLM training
Build distributed systems for web-scale data processing
Develop tokenization, deduplication, and chunking primitives with scalability
Implement monitoring and observability for data pipelines
Collaborate with research to deploy novel data processing architectures
Lead engineering efforts to improve model performance and scale inference and training

🎯 Requirements

1+ years of management experience in a technical environment
Expertise in Python and Rust
Strong software engineering with distributed systems experience
Experience with language model training infrastructure
Deep understanding of cloud platforms and distributed systems architecture
Experience with high-throughput, fault-tolerant system design

🎁 Benefits

Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible hours and collaborative office space

🛃 Visa sponsorship

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