Real-Time Payment ML Engineer: Fraud & Risk

United States Digital Space LLC; Seattle (WA); On-site; USD 120,000 - 150,000; Full time

Job summary

United States Digital Space LLC in Seattle is seeking a Machine Learning Engineer to develop and deploy advanced ML models for fraud detection and payment decisioning systems. You will collaborate with cross-functional teams to enhance existing ML systems and create innovative solutions.

The ideal candidate will have over 3 years of experience in machine learning applications within distributed systems and possess a strong background in data analysis and software engineering. Join us and contribute to shaping the future of financial infrastructure.

Qualifications

• Over 3+ years industry experience building machine learning applications in large scale distributed systems.
• 2+ year of experience developing, managing, and optimizing ML models or infrastructure.
• Experience in adversarial domains like Payments, Fraud, Trust, or Safety.

Responsibilities

• Design and deploy new ML models to reduce fraud.
• Develop models for fraud detection using large datasets.
• Integrate new signals and features into ML pipelines.

Skills

Machine Learning applications

Data analysis

Fraud detection

Collaboration

Education

Advanced degree in a quantitative field

Tools

Spark

XGBoost

TensorFlow

PyTorch

Job description

United States Digital Space LLC in Seattle is seeking a Machine Learning Engineer to develop and deploy advanced ML models for fraud detection and payment decisioning systems. You will collaborate with cross-functional teams to enhance existing ML systems and create innovative solutions.

The ideal candidate will have over 3 years of experience in machine learning applications within distributed systems and possess a strong background in data analysis and software engineering. Join us and contribute to shaping the future of financial infrastructure.