Currently tracking 11 active AI roles, down 45% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $124k–$310k (avg $233k).
Affirm currently has 19 active job listings related to artificial intelligence. The majority of these roles are focused on serving infrastructure, accounting for 32% of the openings, followed closely by data, application, and agents, each representing 26% or 21% of the listings. Engineering is the primary function hiring for these positions, with the United States being the dominant hiring country. Key technical areas include model serving, inference infrastructure, and agent orchestration.
Affirm currently has 23 active AI-related roles in our index. The most common open titles are: Machine Learning Engineer II (2), Manager, Machine Learning Engineering (Fraud) (2), Manager, Machine Learning Engineering (Underwriting) (2), People Knowledge Experience Manager (2), Senior Staff Machine Learning Engineer, (ML Underwriting) (2). Most positions are in Engineering and Product.
Affirm's active AI hiring is concentrated in: agents (30%), serving infrastructure (26%), application (22%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Affirm is hiring AI talent in: United States (20 roles), Canada (3 roles).
Job postings at Affirm most frequently reference: model serving, agent orchestration, inference infra, rag, llm observability.
In the past 30 days, Affirm has posted 6 new AI-related roles. That is a -57% change versus the prior 30 days (14 → 6).
| Title | Stage | AI score |
|---|---|---|
| Manager, Machine Learning Engineering (Underwriting) Manager of ML Engineers building an economic decisioning engine for underwriting in a fintech company, focusing on strategy, talent development, and cross-functional collaboration. | Ship | 7 |
| Manager, Machine Learning Engineering (Underwriting) Manager of ML Engineering for Affirm's underwriting group, focusing on building and scaling the economic decisioning engine using ML techniques for underwriting and optimizing applications. The role involves setting technical strategy, mentoring engineers, and collaborating with product and risk leaders. | Ship | 7 |
| Manager, Machine Learning Engineering (Fraud) |
| Ship |
| 7 |
| Manager, Machine Learning Engineering (Fraud) Manager of Machine Learning Engineering for Fraud at Affirm, focusing on building and iterating on fraud detection models throughout the ML lifecycle, including advanced techniques like representation learning and transformers. The role involves setting strategy, leading a team, and cross-functional collaboration to integrate models into decisioning systems. | ShipPost-train | 7 |
| Analytics Lead, Full Stack (Credit Analytics) This role focuses on leveraging advanced data analytics and machine learning techniques to optimize credit strategies and build scalable risk models within the fintech domain. The primary goal is to manage the risk profile of the business, enabling sustainable growth while closely managing profitability and resilience. The role involves collaborating with cross-functional teams, interpreting regulatory requirements, and driving data-informed decision-making. | Ship | 5 |