Machine Learning Engineer (LLM)- E-commerce Risk Control
Seattle, Washington, United States
USD 136K-280K (estimate) Mid-level Full Time
Tasks
- Build agentic workflows for risk decisions
- Build retrieval-augmented generation workflows
- Collaborate with risk ops product and infrastructure teams
- Deploy machine learning models
- Design monitoring pipelines
- Detect anomalies in transactions and user behavior
- Detect fraud and abuse
- Develop machine learning models
- Generate new risk features
- Perform knowledge distillation
- Train and evaluate BERT style models
- Transform insights into scalable risk control strategies
- Use prompt engineering for reasoning workflows
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | BERT | Deep learning | Feature Engineering | Knowledge Distillation | Langchain | Language Models | Language Processing | Large Language Models | Machine Learning | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | Supervised Learning | Unsupervised Learning
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