Lead the Machine Learning platform at Affirm as an Engineering Manager, focusing on team growth and reliable ML infrastructure. This remote role emphasizes robust technical decision-making and effective leadership.
As an Engineering Manager, you will oversee the ML Training & Serving team, ensuring the successful execution ofroadmaps while driving collaboration across senior engineers and partners. Your leadership will directly impact model training, deployment workflows, and GPU infrastructure, empowering the team to support Affirm's critical ML initiatives.
Key Responsibilities:
Define and execute the ML training and serving roadmap
Lead and mentor a team of platform engineers
Ensure operational health and performance of ML infrastructure
Evaluate and adopt up-to-date ML capabilities as needed
Collaborate with diverse teams to support ML priorities
Requirements:
7+ years in software or machine learning engineering
2+ years managing engineers with hands-on experience
Experience in production ML or distributed systems
Familiarity with deep learning and transformer architectures
Bachelor's degree in a technical field or equivalent experience
Elevate your career by driving machine learning infrastructure excellence at Affirm.
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