Affirm | Staff Software Engineer, ML Platform| Remote (US, CA, Poland) | Full-time
Affirm is building an honest and transparent credit network, giving consumers the flexibility to buy now and pay later without gotchas like late fees or deferred interest.
Are you interested in powering Affirm's machine learning efforts? The ML Platform team’s mission is to grow Affirm’s business by building a self-service foundation for ML Engineers. We enable and scale ML @ Affirm. Come help us build a platform that spans the full spectrum of machine learning, including training and serving.
I'm looking for Staff engineers to speed up our model deployment, invest in our ML Observability stack, architect an ML API Gateway, and modernize our MLOps stack. Curiosity in ML is encouraged but prior experience is not required.
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 (underwriting, fraud, growth, etc.) 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 plays a critical role in this effort.
We're looking for Senior and Staff engineers to launch an ML Feature Store, design an ML API Gateway, and modernize our stack by investing in open source.
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 (underwriting, fraud, growth, etc.) 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 plays a critical role in this effort.
We're looking for Senior and Staff engineers to launch an ML Feature Store, design an ML API Gateway, and modernize our stack by investing in open source.
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 (underwriting, fraud, growth, etc.) 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 plays a critical role in this effort.
We're looking for Senior and Staff engineers to launch an ML Feature Store, design an ML API Gateway, and modernize our stack by investing in open source.
Affirm is building an honest and transparent credit network, giving consumers the flexibility to buy now and pay later without gotchas like late fees or deferred interest.
Are you interested in powering Affirm's machine learning efforts? The ML Platform team’s mission is to grow Affirm’s business by building a self-service foundation for ML Engineers. We enable and scale ML @ Affirm. Come help us build a platform that spans the full spectrum of machine learning, including training and serving.
I'm looking for Staff engineers to speed up our model deployment, invest in our ML Observability stack, architect an ML API Gateway, and modernize our MLOps stack. Curiosity in ML is encouraged but prior experience is not required.
Apply here: https://boards.greenhouse.io/affirm/jobs/5028799003
If you have any questions, email me at [email protected]. I'm the hiring manager.