Partner with frontier AI labs to understand data, post-training, and evaluation needs
Build and operate scalable data pipelines for post-training workflows and model evaluations
Design scalable systems for synthetic data generation and data quality
Prototype new data types, benchmarks, and evaluation frameworks
Lead technical discussions with customers

🎯 Requirements

Strong backend fundamentals in Python, Go, or Rust
Experience with model training and inference
Strong grounding in statistics and experimental design
Familiarity with evaluation methods for large language models
Comfort working through ambiguity and shipping iteratively

🎁 Benefits

Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k relocation bonus
$10K proximity bonus near the office
$1.5K monthly meals stipend
Health, Dental, Vision insurance

🚚 Relocation support

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