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:
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Design domain-specific synthetic data generation (SDG) pipelines via self-instruct and constitutional prompting.
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Implement automated quality scoring and de-duplication systems.
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Manage data pipelines that feed directly into SFT and DPO training loops.
Qualifications:
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Proven experience building large-scale data pipelines (Airflow, Spark, Ray).
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Deep knowledge of prompt engineering for data generation.
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Familiarity with dataset distillation and bias mitigation.