Senior ML Engineer / ML Scientist – Fraud Detection

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United States / $140000 - $190000 annum

INFO

Salary

SALARY:

$140000 - $190000

Location

LOCATION

United States

Job Type
JOB TYPE

Permanent

Overview

We are hiring a Senior ML Engineer / Applied Scientist to build and improve production machine learning systems that power real-time fraud and risk decisions at global scale.

This is a hands-on role focused on solving complex machine learning problems from first principles. You'll work on models that influence millions of customer transactions, own experimentation end-to-end, and help shape the future of a rapidly growing fintech platform.

This is not a role for someone simply deploying pre-built models or integrating AI APIs. We are looking for candidates who can take an ambiguous business problem, design a solution, validate it scientifically, and deliver measurable impact in production.

What You'll Do

Build and Improve Fraud Detection Models

  • Design, develop, and deploy machine learning models used for real-time fraud detection
  • Develop ensemble modeling approaches that improve decision quality and model performance
  • Create new predictive features and signals from large-scale transaction data
  • Improve fraud detection accuracy while maintaining a strong customer experience

Drive Experimentation and Model Innovation

  • Design and execute machine learning experiments from hypothesis through deployment
  • Build robust offline evaluation methodologies and validation frameworks
  • Develop new approaches for measuring model effectiveness prior to production release
  • Apply statistical methods to evaluate model improvements and business impact

Own ML Systems End-to-End

  • Build and maintain scalable machine learning pipelines
  • Work with distributed data processing systems using Spark
  • Partner with Product, Engineering, and Risk teams to translate business challenges into technical solutions
  • Own projects through the full ML life-cycle, from concept to production

What We're Looking For

Required Experience

  • 4+ years of experience developing machine learning solutions in production environments
  • Strong proficiency in Python, SQL, and Spark
  • Deep understanding of machine learning, statistics, and experimental design
  • Experience building models from scratch rather than primarily consuming third-party AI services
  • Strong knowledge of model evaluation methodologies and performance measurement
  • Experience working with large-scale datasets in distributed environments
  • Ability to own technical initiatives from ideation through deployment

CONTACT

Joshua Bayer

Recruitment Consultant

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