Software Engineer, Backend
To see similar active jobs please follow this link: Remote Development jobs
The Machine Learning Data team is a team of passionate engineers working at the intersection of data, machine learning, and experimentation. We maintain critical real-time infrastructure to enable machine learning and data to be a competitive advantage for Affirm.
As a member of our team, you’ll create scalable business impact by making it easy for anyone at Affirm to use ML data for training and serving business-critical ML models. Our flagship product is a modern feature store built on stream processing technology. You’ll partner with ML engineers across Affirm to develop systems that will advance the use of machine learning in the financial services industry. If this excites you, we’d love to hear from you.
What You’ll Do
Work with a team of engineers to build, maintain, and scale our critical experimentation, feature flag, and feature store infrastructure serving millions of customers
Work with other engineers, data scientists, product managers, and machine learning engineers to configure their experiments, machine learning features, and feature flags for different product initiatives
Drive customer impact through critical infrastructure
On-call and triage rotations
What We Look For
Collaborative, communicative, and enthusiastic people who love software
2+ years of software development experience
Software development experience in Python or a similar language
Familiarity with Python, AWS, and Kubernetes is a plus
Experience with data pipelines and machine learning is a bonus
Experience in operating 24x7 mission-critical systems
About the job
Software Engineer, Backend
To see similar active jobs please follow this link: Remote Development jobs
The Machine Learning Data team is a team of passionate engineers working at the intersection of data, machine learning, and experimentation. We maintain critical real-time infrastructure to enable machine learning and data to be a competitive advantage for Affirm.
As a member of our team, you’ll create scalable business impact by making it easy for anyone at Affirm to use ML data for training and serving business-critical ML models. Our flagship product is a modern feature store built on stream processing technology. You’ll partner with ML engineers across Affirm to develop systems that will advance the use of machine learning in the financial services industry. If this excites you, we’d love to hear from you.
What You’ll Do
Work with a team of engineers to build, maintain, and scale our critical experimentation, feature flag, and feature store infrastructure serving millions of customers
Work with other engineers, data scientists, product managers, and machine learning engineers to configure their experiments, machine learning features, and feature flags for different product initiatives
Drive customer impact through critical infrastructure
On-call and triage rotations
What We Look For
Collaborative, communicative, and enthusiastic people who love software
2+ years of software development experience
Software development experience in Python or a similar language
Familiarity with Python, AWS, and Kubernetes is a plus
Experience with data pipelines and machine learning is a bonus
Experience in operating 24x7 mission-critical systems