Shape the future of machine learning at Affirm as a Senior Machine Learning Engineer specializing in Fraud detection. This is a fully remote opportunity in Canada. You will lead efforts in developing impactful machine learning models that safeguard transactions for consumers and merchants.
Collaborating closely with cross-functional teams, you will translate complex problems into effective solutions, ensuring that models maintain high reliability. Your experience in Python and ML practices will drive the successful launch of fraud detection systems. Key Responsibilities:
- Lead development of advanced fraud prediction models
- Construct and optimize feature datasets leveraging diverse signals
- Prototype innovative modeling ideas and assess performance
- Effectively integrate ML models into operational workflows
- Monitor fraud patterns and guide model retraining strategies Requirements:
- Minimum 6 years of experience in machine learning
- Proficient in Python and crafting production-quality code
- Solid knowledge of tabular data modeling techniques
- Familiarity with deep learning and distributed processing tools
- Experience with ML tools for orchestration and monitoring Join Affirm and take part in transforming financial transactions through advanced machine learning solutions.