Lead the Machine Learning platform at Affirm as an Engineering Manager, focusing on team growth and reliable ML infrastructure. This remote role emphasizes solid 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 modern 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.