- Palo Alto, California, United States
- On-site
- Full-time
- $160K–$250K per year
- 3+ years
Build data systems behind frontier model training, including large-scale crawling, data pipelines, and quality assurance.
Compensation
Annual Salary: $160,000 - $250,000 USD
Responsibilities
- Build platform that turns raw web, code, multimodal, and acquired data into training-ready datasets
- Own pipelines, orchestration, and tooling for pretraining data iteration
- Create signals for data quality, lineage, freshness, and pipeline health
- Partner with training, crawling, data quality, and acquisition teams
- Build high-throughput, fully telemetered data pipelines
Requirements
- Nice to have: high-slope engineer
- Nice to have: staff-level ownership
- Nice to have: debug complex systems
- Nice to have: work alongside AI agents
- Nice to have: strong intuitions about large-scale distributed systems