Member of Technical Staff - AI Data Platform, Frontier Models
Tasks
- Automate annotation relabeling and data quality diagnosis
- Build AI native data pipelines
- Build dataset evaluation and data model iteration loop
- Build large scale AI data infrastructure
- Collaborate with model and training teams on data feedback loops
- Design AI optimized data storage and table layers
- Design multimodal data processing systems
- Develop data governance and metadata management
- Drive targeted dataset mining using evaluation results
- Own data collection ingestion cleaning and curation
- Train models for classification recognition captioning and quality scoring
Perks/Benefits
- N/A
Skills/Tech-stack
Computer Vision | Data Engineering | Data Governance | ETL | Flink | Iceberg | LLM | LLM Evaluation | Lance | Language Processing | MMLU | Machine Learning | Multimodal Learning | Natural Language | Natural Language Processing | Paimon | Parquet | Python | Ray | SQL | Shell | Spark | Synthetic data | VLM | Vector Database
Education
N/A
Roles
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