Engineering Manager, Machine Learning Platform
New
A
AffirmFintech
Remote USFull-TimeManager
SalaryUSA base pay range (CA, WA, NY, NJ, CT) per year: $230,000 - $290,000; USA base pay range (all other U.S. states) per year: $204,000 - $264,000
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Job Details
- Experience
- 7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers
- Required Skills
- Machine LearningPeople ManagementSoftware EngineeringDeep LearningDistributed Systems
Requirements
- 7+ years of industry experience in software and/or machine learning engineering.
- 2+ years managing engineers.
- Hands-on software engineering experience.
- Strong experience building and operating production ML or distributed systems infrastructure.
- Hands-on experience in at least one of model training, model serving, deployment workflows, or GPU infrastructure.
- Solid understanding of ML data needs, including training datasets, data quality, reproducibility, and evaluation data.
- Familiarity with modern ML workloads, such as deep learning, transformer architectures, and large-scale training or serving.
- Strong systems thinking and ability to partner on architectural trade-offs.
- Experience recruiting, coaching, and developing engineers.
- Bachelor’s degree in a technical field or equivalent practical experience.
Responsibilities
- Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving.
- Lead, coach, and grow a team of platform engineers.
- Drive delivery and operational health for the team’s infrastructure, balancing reliability, developer experience, performance, and cost.
- Evaluate and adopt modern ML infrastructure capabilities as Affirm’s needs evolve.
- Collaborate with ML modeling, product, and infrastructure teams to support high-priority ML initiatives.
- Recruit, develop, and retain high-performing platform engineers.
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