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
• 5+ years of software development experience with experience mentoring junior engineers
• Software development experience in Python or a similar language
• Linux and AWS experience, AWS certification is a plus
• Experience with data pipelines and machine learning is a bonus
• Kubernetes experience is a bonus
• Experience in operating 24x7 mission-critical systems

USA Pacific base pay range (CA, WA, NY, NJ, CT): $162,400 - $243,500
USA Sapphire base pay range (all other U.S. states): $146,100 - $219,200

Location - Remote US

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