Senior Machine Learning Engineer, Fraud Detection

Tech Stack

Responsibilities

• Design and implement machine learning algorithms, including anomaly detection models, to identify unauthorized account sharing in real-time.
• Develop end-to-end ML pipelines for data preprocessing, model training, evaluation, and deployment using cloud platforms.
• Optimize models for performance, scalability, and efficiency to handle high-volume streaming data.
• Integrate ML solutions with existing systems via APIs and establish monitoring for model drift and retraining.
• Collaborate on A/B testing and iteration to refine algorithms based on feedback and evolving evasion tactics.

Soft Skills

Benefits

• 401k
• Commuter Benefits
• Dental
• Flexible PTO
• Gym/Wellness
• HSA/FSA
• Health Insurance
• Life Insurance
• Parental Leave
• Vision

Culture

Requirements