About the role
The team builds and operates large-scale multilingual data pipelines for AI models. The engineer designs these pipelines, ensures data quality, and runs experiments to improve multilingual data efficiency. They also develop evaluation sets to identify and fix model performance gaps across different languages.
Our summary of the posting; the original is on the Reflection AI careers page.
What the posting requires
- Required
- Data pipelines
- Data cleaning
- Data quality
- Scientific experiments
- Evaluation sets
- Pre-training
- Software engineering
- Data processing
- Language fluency
- Multilingual
- Preferred
- Tokenizer design
- non-Latin scripts
- MS
- NLP
- PhD
- Low-resource languages
These tags are our reading of the posting. They can miss something; the original posting is the reference.