Lead Machine Learning Engineer Fraud ML

Position: Lead Machine Learning Engineer for Fraud ML
Become a Lead Machine Learning Engineer with Affirm's Fraud ML team, specializing in real-time fraud prevention systems. This remote position in Canada offers impactful challenges.

As part of Affirm, you'll leverage your 6+ years of experience to construct and optimize machine learning models focused on fraud detection. Collaboratively engage with various teams to convert ideas into prototypes and production-ready solutions while improving operational efficiencies. Your leadership will help define best practices in model development amid evolving fraud patterns.

Key Responsibilities:

• Spearhead the creation of fraud detection models

• Construct and scale feature pipelines using diverse data

• Drive the deployment of high-performing modeling solutions

• Monitor systems for reliability and operational integrity

• Streamline model building processes and workflows

Requirements:

• Minimum 6 years of experience with ML models

• Expertise in Python for writing production-ready code

• Background in classification and deep learning techniques

• Proficient in distributed data processing frameworks

• Familiarity with ML tools such as Kubeflow or Airflow

Lead the development of advanced fraud detection models that enhance security and customer trust at Affirm.
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