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.
What You'll Do
· With the support of your team, you will work on tasks that contribute to the team's projects and goals.
· You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work.
· You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime.
· You will contribute to a sense of community on your team by engaging in growth and development activities.
What We Look For
· You have previous work or internship experience designing, developing and launching backend systems at scale and are experienced using one of Python or Kotlin.
· You are familiar with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
· You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
· You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
| Base Pay Grade - J |
| Equity Grade - Canada 4 |
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
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: $102,000 - $142,000
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
We 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.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
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