ML Engineer (Product)

Overview

This range is provided by Franklin Fitch. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00 / yr - $200,000.00 / yr

We’re looking for an ML Engineer who thrives at the intersection of modeling, engineering, and product. In this role, you’ll design and deploy production-ready models, build scalable APIs for real-time decisioning, and develop the analytics layer powering the next generation of fintech applications. You’ll report directly to the Director of Engineering and own projects end-to-end—from research and prototyping through to large-scale deployment and monitoring.

What You’ll Do

• Develop, validate, and scale ML models for affordability, risk assessment, fraud detection, and predictive analytics
• Build and maintain robust data pipelines, feature stores, and APIs that bring ML into production at scale
• Collaborate with product, data, and engineering teams to deliver customer-facing features
• Experiment with different modeling and system approaches, with strong judgment on when ML is the right tool
• Drive innovation in model performance, monitoring, reliability, and explainability
• Implement MLOps best practices for versioning, testing, deployment, and monitoring
• Ensure compliance with data security, privacy, and regulatory requirements relevant to fintech applications

Who You Are

Seniorities & Employment

Note : This listing includes general information and does not guarantee a position. Refer to Franklin Fitch for official details.

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