Join Affirm as a Senior Software Engineer to build a self-serve platform for machine learning and decisioning.
Posted by employer 1 day ago
First seen on Joblaze 14 minutes ago
Last verified on the company career page 14 minutes ago
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Joblaze summary
In this role, the Senior Software Engineer will lead the development and delivery of backend systems that support Affirm's machine learning feature platform, focusing on enhancing data storage and availability. Proficiency in Python or Kotlin, along with experience in distributed systems using AWS and Kubernetes, is essential for success. This position is ideal for engineers with a strong background in backend development and a passion for machine learning, particularly those who thrive in collaborative environments. The team emphasizes quality and ownership, fostering a culture of continuous improvement.
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Quick facts
From the original posting
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Engineering team builds systems that power Affirm’s mission. We take pride in our craft, building reliable, performant, and scalable solutions that touch every part of the business. Whether we’re enabling new ways to pay, ensuring our platforms can scale to the most demanding levels in the industry, or developing seamless servicing experiences, our focus is on solving complex problems through exceptional engineering.
ML Feature Platform is one of the two teams that compose the ML Platform at Affirm, the other team being ML Training & Serving Platform. The two platform teams work closely together to create the ML + Data flywheel that empowers Affirm.
ML Feature Platform’s mission is to: Grow Affirm’s business by building a delightful, self-serve platform for developing and serving data for machine learning and decisioning.
As the feature platform team, we own multiple artifacts that in aggregate own the end-to-end flows for features. This includes:
This scope means your work will have a direct impact on the everyday lives and capabilities for our end users: MLEs, Analysts, and decisioning teams. Additionally as the primary data source for ML and online decisioning, our platform’s performance is critical to Affirm’s availability and latency goals.
We’re looking for engineers who are passionate about ML enablement and believe that platform level improvements can bring snowball effects across the company.
Base Pay Grade - N
Equity Grade - 6
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $153,000 - $213,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
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