Affirm
FinTech
SoftwareEngineerII,Backend(MLTraining&Serving)
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer II, Backend (ML Training & Serving) at Affirm. Skills: ML Training, ML Serving, Distributed systems, ML infrastructure. Break down larger projects into individual tasks. Deliver projects in multiple phases”
What You'll Achieve.
Timely delivery of work; Improve developer velocity; Create durable systems
Industry & Context.
Debugging; Troubleshooting
On-call efforts
What They're Looking For.
Must Have
1.5+ years of experience as a software engineer, Experience designing, developing and launching backend systems, Proficient in Python or Kotlin, Familiar with distributed systems, Mastered taking a simple problem into a solution, Executing on solutions by writing clear, easily understood, well tested and extensible code, Comfortable navigating a large code base, Debugging others' code, Providing feedback to other engineers through code reviews, Take ownership of your growth, Proactively seeking feedback, Verbal and written communication skills
Nice to Have
AWS experience, MySQL experience, Kubernetes experience
What You'll Do.
Break down larger projects into individual tasks
Deliver projects in multiple phases
Collaborate with others to ensure timely delivery
Support peers and stakeholders in product development
Collaborate across engineering
Articulate technical constraints
Partner on decisions considering risks and trade-offs
Support operations and availability of team's artifacts
Create and monitor metrics
Support keep the lights on efforts
Support on-call efforts
Contribute to team community
Engage in growth and development activities
Participate in interview process
How You'll Work.
Team & Collaboration
Collaborate across organizational boundaries; Support peers and stakeholders; Collaborate across engineering; Partner on decisions; Engage in growth and development activities; Participate in interview process
Communication Scope
Verbal communication; Written communication
Process & Methodology
Break down projects, Deliver in phases
Full Job Description
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. Machine Learning is central to how Affirm delivers on its mission, powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Software Engineer II to join our ML Training & Serving engineering team, the team that builds and operates the critical infrastructure that enables models to be trained and served across Affirm. This role sits at the intersection of distributed systems, ML infrastructure, and platform engineering. We value engineers who listen closely, invite feedback, and work effectively across organizational boundaries, while maintaining a high bar for ownership, technical judgment, and execution. Strong candidates care about building reliable shared platforms, improving developer velocity, and creating durable systems that enable teams across the company to move faster with confidence. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating across engineering, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience designing, developing and launching backend systems and are proficient in o
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