Machine Learning Engineer, Payment Intelligence
Tasks
- Build workflows to automate feature generation
- Collaborate cross functionally with data science product risk and infrastructure teams
- Create real-time data pipelines
- Derive machine learning features
- Design and deploy machine learning models
- Develop fraud detection models
- Ensure code quality and scalability
- Implement product ideas to reduce costs and combat fraud
- Improve verification and fraud models
- Integrate models into payment decisioning systems
- Integrate signals into machine learning pipelines
- Mentor engineers
Perks/Benefits
- 401k plan
- Company bonus
- Equity
- Medical, dental, and vision benefits
- Sales commissions
- Wellness stipends
Skills/Tech-stack
Data Analysis | Data Pipelines | Distributed Systems | Feature Engineering | Fraud Detection | Java | Machine Learning | Machine Learning Operations | Machine Learning Operations MLOps | Model Deployment | Presto | PyTorch | Python | Real Time | Real-time Systems | Ruby | Spark | TensorFlow | Time Systems | XGBoost
Education
N/A
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