Member of Technical Staff - Data Flywheel Infra, Frontier Models
Tasks
- Build data quality observability metrics for coverage diversity contamination and duplication
- Build scalable data ingestion processing curation versioning and serving systems
- Create evaluation to data feedback loops for failure clustering and hard example mining
- Develop automated pipelines for ingestion classification filtering deduplication quality scoring and enrichment
- Enforce machine policies for dataset inclusion exclusion quarantine and restriction
- Generate synthetic and AI native data pipelines using LLM and VLM
- Implement data governance security and compliance in data platform
- Maintain data provenance lineage attribution and auditability
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Active Learning | Apache Flink | Apache Spark | Clean rooms | Confidential Computing | Data Clean Rooms | Data Deidentification | Data Governance | Data Lineage | Data Privacy | Data Security | Data provenance | Evaluation | Hard example mining | Information Retrieval | LLM | Machine Learning | Machine Learning Pipelines | Multimodal Data | PII Detection | Privacy Preserving Processing | Privacy-preserving | Python | Ray | Retention Policy | SQL | Synthetic data | VLM
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