Senior Software Engineer, Backend (ML Platform)

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The ML Platform team is on a mission to build the core infrastructure that powers Affirm's intelligence. Affirm uses machine learning to assess and approve each BNPL transaction. Affirm’s ML models answer questions like: is the applicant willing and able to repay this loan?

The role of the ML Platform team is to build the compute platform for training and serving all of Affirm's ML models and features. Online, we operate a feature store and model server that enable real-time feature computation and model scoring. Offline, we manage an environment for running large scale model training and data analysis.

Requirements

• 4+ years of experience designing, developing, and launching backend systems at scale using languages like Python or Kotlin.
• A track record of developing highly available distributed systems using technologies like AWS, MySQL, and Kubernetes.
• Experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple, and extensible design.
• Writes high-quality code that is easily understood and used by others.
• Proficient at making significant changes in a large code base and has developed a suite of tools and practices that enable them and their team to do so safely.
• Demonstrates a commitment to personal growth, proactively seeking feedback and guidance.
• Strong verbal and written communication skills for effective collaboration with a global engineering team.

Responsibilities

• Responsible for owning and delivering quarterly goals for the team.
• Leads engineers through ambiguity to solve open-ended problems.
• Ensures everyone is supported throughout the delivery process.
• Supports product development by collaborating with product management, design, and analytics.
• Participates in ideation, articulates technical constraints, and partners on decisions considering risks and trade-offs.
• Proactively identifies project, process, technology, or business issues, advocates for them, and leads in solving them.
• Supports the operations and availability of the team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” and on-call efforts.
• Fosters a culture of quality and ownership on the team by setting or improving code review and design standards, and advocating for them beyond the team.
• Helps develop talent on the team by providing feedback and guidance, and leading by example.

Application Instructions

• Not specified in the provided text.