Why This Role Stands Out
Advance your AI career by shaping the future of data generation and model training within a reputable technology company. You'll thrive here if you're a skilled engineer passionate about prompt engineering and building robust data pipelines, with opportunities for significant professional growth. Apply now to make a real impact on cutting-edge AI development!
Quick Overview
Job Description
We are seeking a talented and innovative Synthetic Data Engineer. In this role, you will design and implement domain-specific synthetic data generation pipelines, ensuring high-quality data management for training loops. Your expertise will drive the success of data processing and model training within the organization.
Responsibilities:
- Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
- Implement automated quality scoring and de-duplication systems.
- Manage data pipelines that feed directly into SFT and DPO training loops.
Qualifications:
- Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
- Deep knowledge of prompt engineering for data generation.
- Familiarity with dataset distillation and bias mitigation.
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