Senior Machine Learning Engineer

We are seeking a
Senior Machine Learning Engineer
to lead the design, development, and deployment of predictive models across Risk and Fraud. This role is central to strengthening intelligent decision systems through scalable, production-grade machine learning infrastructure.

You’ll operate at the intersection of modeling, engineering, and business impact — building systems that directly protect customers and reduce financial risk.

What You’ll Own

• Architect and deploy machine learning models for fraud detection and risk assessment
• Design and maintain scalable ML pipelines from experimentation to production
• Lead model validation, monitoring, and performance optimization
• Apply rigorous statistical methodologies to experimentation and evaluation
• Partner cross-functionally with Risk, Operations, and Product teams
• Contribute to long-term ML infrastructure and modeling strategy

What We’re Looking For

• 5+ years of experience in Machine Learning Engineering or applied ML
• Strong proficiency in Python and SQL
• Demonstrated experience deploying and maintaining production ML systems
• Deep statistical intuition and strong experimentation framework
• Clear communicator across technical and business stakeholders
• Strong academic foundation in Computer Science or a closely related technical discipline from a leading program
• Experience in financial systems, lending, fraud, or risk modeling is a plus

Location

Remote (U.S.) or Palo Alto, CA (hybrid option available).

What We Offer

• Competitive compensation + equity
• Comprehensive medical and dental benefits
• 401(k) plan
• Paid parental leave
• Flexible work policy