Research Engineer, Data Infrastructure (Language Modeling)

Highlights

• Build scalable pipelines to acquire and curate massive pretraining datasets.
• Run ablation experiments to shape data mixtures and model quality.
• Partner with research to link dataset characteristics to model behavior.

What they offer

• Competitive base salary and equity package
• Fully covered medical, dental and vision insurance for you and family
• 9 weeks paternity and 12 weeks maternity leave
• 401(k)
• Monthly commuter allowance
• Flexible PTO
• Daily lunch, dinner and snacks

Ideal candidate

A systems-minded ML engineer who loves clean, fast data infrastructure and obsesses over data quality. You thrive partnering with researchers and seeing your datasets directly shape frontier models.

Requirements

• Hands-on experience with ML data infrastructure including training data pipelines, dataset versioning, and large-scale data loading
• Strong engineering execution with clean, well-tested code and fluency with modern tools
• Familiarity with building and evaluating datasets for generative models and working knowledge of model training and inference