Member of Engineering (Synthetic Data Research)
Tasks
- Collaborate with cross functional teams on training data needs
- Deploy distributed data pipelines to production
- Design data generation pipelines
- Generate diverse natural language and code datasets
- Improve synthetic dataset quality
- Measure dataset quality
- Optimize compute and time for data generation
- Run quantitative data ablation experiments
- Validate data strategies for training large models
Perks/Benefits
- Company equipment allowance
- Flexible hours
- Frequent team get togethers
- Fully remote
- Health insurance allowance
- Home-office allowance
- Parental leave
- Vacation and holidays
- Well-being allowance
Skills/Tech-stack
Curriculum learning | Data Ablation | Data Curation | Data Deduplication | Data Pipelines | Data mixing | Distributed Computing | Distributed data | Distributed data pipelines | Evals | GPU Cluster | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | Reinforcement Learning | Scaling Laws | Tokenization
Education
N/A
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