Principal Machine Learning Engineer, Content Safety
Tasks
- Architect large-scale ML systems
- Build dataset pipelines
- Collaborate with product data science policy operations
- Define machine learning moderation strategy
- Deploy safe ML techniques
- Develop auto labeling pipelines
- Drive end-to-end ML product development
- Implement real-time ML inference
- Integrate ML services into production stack
Perks/Benefits
Skills/Tech-stack
Auto-labeling | Backend integration | Computer Vision | Data Pipelines | Deep learning | Knowledge Distillation | Language Models | Language Processing | LoRA | ML Systems | Machine Learning | Natural Language | Natural Language Processing | Production ML | Production ML Systems | Quantization | Real Time | Real-time Inference | Self-Supervised Learning | Self-supervised | Supervised Learning | Transfer Learning | Vision Language Models | Vision-language
Education
N/A
Regions
Countries
States
Cities
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