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Independently validate and monitor machine learning models used for credit underwriting, credit risk, and fraud detection. Identify weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Partner cross-functionally to implement and maintain the Model Risk Management framework and support audit, compliance, and regulatory requests.

As a Machine Learning Engineer II at Affirm, you'll develop AI systems for automating customer operations and collaborate on building models while ensuring high-quality code production.

Independently validate and monitor machine learning models for credit underwriting, credit risk, and fraud detection. Identify model weaknesses, recommend improvements, and collaborate with model owners to remediate findings. Support and maintain the Model Risk Management framework and coordinate with Internal Audit, Internal Controls, and Compliance on audit and regulatory requests.

As a Machine Learning Engineer II, you will enhance AI systems for automating customer operations, develop evidence extraction pipelines, and collaborate with teams on model development and deployment.

Manage and optimize the Five9 collections dialer environment across internal and third-party operations. Develop outbound dialing strategies, configure campaigns and pacing, monitor performance and compliance (TCPA/FDCPA), troubleshoot vendor/dialer issues, build reporting and SOPs, and drive automation and process improvements in partnership with Ops, WFM, Product, Engineering, and Compliance.

Manage and optimize the Five9 collections dialer environment and outbound dialing strategies to maximize contact rates, agent productivity, and recovery performance while ensuring regulatory compliance and cross-functional coordination.

Lead the Affirm Card and Card Platform strategy and roadmap, manage and scale a team of PMs, own business metrics (GMV, engagement, unit economics, credit), drive platform capabilities (authorization, servicing, APIs), partner with Engineering, Finance, Credit, Legal and external partners, and represent the Card domain in executive planning to deliver scalable consumer card products and integrations.

Lead and deliver Repayment UX mobile features using React Native; define technical plans, collaborate with product/design/analytics, support production availability and on-call, mentor engineers, improve code and design standards, and drive quality and ownership across the team.

Lead and deliver Repayment UX features for Affirm's mobile products using React Native. Own quarterly goals, guide engineers through ambiguous problems, collaborate with product/design/analytics, ensure operational reliability (metrics and on-call), improve engineering standards, and mentor teammates to drive high-quality, scalable mobile experiences.

As a Revenue Operations Analyst II, you'll design and optimize processes for lead management and lifecycle, ensuring efficiency and data integrity while supporting marketing and sales teams.