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Staff Software Engineer (Machine Learning Platform)

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. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly. 

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’s mission is to develop a self-service foundation for applications of machine learning that will provide scalable business impact. This team works in close partnership with ML engineers to deliver systems that enable fast paced ML development. Affirm’s goal is to build the largest network as measured by the number of users and merchants. Machine learning is a critical tool in this effort.


We are looking for highly motivated staff engineers to help. Come join us!


What you'll do

  • Design and build Affirm’s next generation ML feature store and ML API gateway
  • Develop infrastructure for training and serving ML models at scale across multiple regions
  • Design self-service and user-friendly tools, APIs, and services that power all of ML at Affirm
  • Partner with ML engineers, product engineers, and platform infrastructure engineers to launch impactful new initiatives; your systems will launch models that decide who we lend to in real time
  • Serve as a trusted advisor on the application and implementation of ML across Affirm


What we look for

  • 5+ years of experience
  • Strong engineering background and demonstrated experience with building data infrastructure and real-time, distributed systems
  • Experience with data frameworks such as Spark, Kafka, Kubernetes, Airflow, and Flink
  • Experience with cloud service providers such as AWS
  • Experience with Python
  • Experience or strong interest in developing ML models
  • Excellent written and oral communication skills including the capability to drive requirements with product and engineering teams and present technical concepts and results in an audience-appropriate way
  • Ability to work efficiently both solo and as part of a team; willingness to learn new things and mentor others
  • Passion to change consumer banking for the better, while developing a deeper understanding of machine learning systems


Affirm is proud to be a remote-first company! Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines.


Check out our remote-first approach to learn more about the new ways we work.


If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes.


At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2020 DEI Report .


We also believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.


By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy , or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of my personal information as described therein.


Affirm is proud to be a remote-first company ! Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines. If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes. 


Inclusivity:

At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2020 DEI Report .


We also believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.


By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy , or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of my personal information as described therein.

Company

Affirm

Location

USARemote

Job type

Full-Time

Category

Software Engineering

Tags

AirflowAWSBankingDistributed Systems
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